Journal articles: 'Vegetation condition'

1

De Sousa Teixeira, David Bruno. "Correlation between precipitation and vegetation indexes under preserved Caatinga condition." Journal of Hyperspectral Remote Sensing 7, no. 1 (July 12, 2017): 21. http://dx.doi.org/10.29150/jhrs.v7.1.p21-30.

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The remote sensing techniques have been improved during the last few years, and vegetation indexes have become an increasingly used instrument for the evaluation of landscape units, for instance, the Caatinga's biome. Thus, some indexes such as the Normalized Difference Vegetation Index (NDVI), the Soil Adjusted Vegetation Index (SAVI) and the Leaf Area Index (LAI) are important tools in the study of the vegetation's behavior under the most different climatic conditions, especially in regions of the Brazilian semiarid that have scarce and poorly distributed rains, concentrated in the first half of the year. The objective of this research is to evaluate the influence of precipitation in the behavior of preserved Caatinga's vegetation through vegetation indexes using satellite images. For this, rainfall data of the Aiuaba Experimental Basin (AEB) provided by FUNCEME for the years 2003, 2004 and 2005, were analyzed. In conclusion, there is a strong correlation between rainfall precipitation and the increasing of the vegetation cover in the studied area, showing that the vegetation indexes can be considered as efficient parameters to evaluate the vegetation's behavior under preserved Caatinga condition.

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Kurbanov, R. K., and N. I. Zakharova. "Application of Vegetation Indexes to Assess the Condition of Crops." Agricultural Machinery and Technologies 14, no. 4 (December 18, 2020): 4–11. http://dx.doi.org/10.22314/2073-7599-2020-14-4-4-11.

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Monitoring of the state of agricultural crops and forecasting the crops development begin with aerial photography using a unmanned aerial vehicles and a multispectral camera. Vegetation indexes are selected empirically and calculated as a result of operations with values of diff erent spectral wavelengths. When assessing the state of crops, especially in breeding, it is necessary to determine the limiting factors for the use of vegetation indexes.(Research purpose) To analyze, evaluate and select vegetation indexes for conducting operational, high-quality and comprehensive monitoring of the state of crops and the formation of optimal management decisions.(Materials and Methods) The authors studied the results of scientifi c research in the fi eld of remote sensing technology using unmanned aerial vehicles and multispectral cameras, as well as the experience of using vegetation indexes to assess the condition of crops in the precision farming system. The limiting factors for the vegetation indexes research were determined: a limited number of monochrome cameras in popular multispectral cameras; key indicators for monitoring crops required by agronomists. After processing aerial photographs from an unmanned aerial vehicle, a high-precision orthophotomap, a digital fi eld model, and maps of vegetation indexes were created.(Results and discussion) More than 150 vegetation indexes were found. Not all of them were created through observation and experimentation. The authors considered broadband vegetation indexes to assess the status of crops in the fi elds. They analyzed the vegetation indexes of soybean and winter wheat crops in the main phases of vegetation.(Conclusions) The authors found that each vegetative index had its own specifi c scope, limiting factors and was used both separately and in combination with other indexes. When calculating the vegetation indexes for practical use, it was recommended to be guided by the technical characteristics of multispectral cameras and took into account the index use eff ectiveness at various vegetation stages.

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Jordaan, F. P., O. J. H. Bosch, M. Postma, and A. S. de Beer. "The Potch vegetation management system:the influence on vegetation condition." Journal of Arid Environments 29, no. 3 (March 1995): 403–11. http://dx.doi.org/10.1016/s0140-1963(05)80118-1.

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4

Li, Ming, Chenhao Ge, Shengwei Zong, and Guiwen Wang. "Drought Assessment on Vegetation in the Loess Plateau Using a Phenology-Based Vegetation Condition Index." Remote Sensing 14, no. 13 (June 24, 2022): 3043. http://dx.doi.org/10.3390/rs14133043.

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Frequent droughts induced by climate warming have caused increasing impacts on the vegetation of the Loess Plateau (LP). However, the effects of drought on vegetation are highly dependent on when the drought occurs and how long it lasts during the growing season. Unfortunately, most of the existing drought indices ignore the differences in the drought effects on different vegetation growth stages. In this study, we first established a phenology-based vegetation condition index, namely weighted vegetation condition index (WVCI), which accounts for the differences in vegetation sensitivity to drought by assigning specific weights to different phenological stages of vegetation. Then, we used the WVCI to reveal the temporal and spatial variations in vegetative drought from 2001 to 2019 over the LP from the aspects of drought frequency, trend and relative deviation. The results showed that (1) the LP experienced frequent droughts during the study period, but mainly mild and moderate droughts. The drought frequencies decreased from southeast to northwest, and extreme droughts rarely occurred in mountainous areas and plains. (2) The droughts in most areas of the LP tended to ease, and only a few areas in the Hetao Plain, Ningxia Plain and Fenwei Plain showed an increasing trend of drought. (3) After 2012, the departure percentage of WVCI in most areas of the LP was positive, indicating above-average vegetation conditions. (4) Compared with the well-established vegetation condition index, the WVCI proved to have the ability to monitor and assess vegetative drought on an annual scale in the LP. As a result, our research could help develop and implement drought-resistance and disaster-prevention measures on the LP.

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Keith, David, and Emma Gorrod. "The meanings of vegetation condition." Ecological Management and Restoration 7, s1 (June 2006): S7—S9. http://dx.doi.org/10.1111/j.1442-8903.2006.00285.x.

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Zerger, Andre, Philip Gibbons, Simon Jones, Stuart Doyle, Julian Seddon, Sue V. Briggs, and David Freudenberger. "Spatially modelling native vegetation condition." Ecological Management and Restoration 7, s1 (June 2006): S37—S44. http://dx.doi.org/10.1111/j.1442-8903.2006.00290.x.

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Tohir, Rizki Kurnia, Mohammad Ashari Dwiputra, and Fajar Islam Sitanggang. "BIRD DISTRIBUTION IN ITERA CAMPUS AREA BASED ON VALUE CHANGES IN NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)." Media Konservasi 26, no. 2 (October 17, 2021): 83–91. http://dx.doi.org/10.29244/medkon.26.2.83-91.

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Land-use change from a rubber plantation into the ITERA campus area causes an ecological transition. The components of ecology affected are vegetation and wildlife (bird). Geographic information systems can be used to assess the condition of vegetation and its relation to the ecological component. This study analyses bird diversity, vegetation condition through the NDVI value distribution, and then analyses the bird distribution based on vegetation condition. Observation in transect is the method for collecting bird distribution data. Analyses of vegetation condition was carried out based on NDVI. Analyses of bird distribution based on vegetation condition was carried out spatially by overlaying thematic maps of vegetation with bird distribution. This research found 28 bird species belonging to 18 families with diversity index (H’) 1.84. The highest abundance species were Lonchura punctulata, Passer montanus, and Hirundo tahitica. The NDVI values ranged from -0.64-0.87. ITERA vegetation conditions are divided into five classes: very rare vegetation (VRV), rare vegetation (RV), m vegetation (MV), dense vegetation class (DVC), and very dense vegetation (VDV). Total encounters with birds in this study were 753. The distribution of birds to the vegetation conditions in ITERA has a higher tendency and diverse vegetation have implications of birds to use the vegetation. In the VRV class, there were 4 encounters, RV 37, MV 157, DVC 235, and VDV 315. Also, the number of bird species tends to increase along with the increasing vegetation value. Lonchura punctulata is a bird with the highest abundance in each vegetation class, followed by Passer montanus and Pycnonotus aurigaster. Key words: bird distribution, ITERA, land-use change, vegetation condition

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KIKUCHI, Takao. "Landslide vegetation and its habitat condition." Landslides 39, no. 3 (2002): 338–42. http://dx.doi.org/10.3313/jls1964.39.3_338.

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Drielsma, Michael, and Simon Ferrier. "Landscape scenario modelling of vegetation condition." Ecological Management and Restoration 7, s1 (June 2006): S45—S52. http://dx.doi.org/10.1111/j.1442-8903.2006.00291.x.

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Thackway, Richard, and Robert Lesslie. "Reporting vegetation condition using the Vegetation Assets, States and Transitions (VAST) framework." Ecological Management and Restoration 7, s1 (June 2006): S53—S62. http://dx.doi.org/10.1111/j.1442-8903.2006.00292.x.

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Haile, Mebrahtu, Emiru Birhane, Meley Mekonen Rannestad, and Muyiwa S. Adaramola. "Carbon Stock and Soil Characteristics under Expansive Shrubs in the Dry Afromontane Forest in Northern Ethiopia." International Journal of Forestry Research 2021 (May 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/6647443.

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Increased presence of expansive plant species could bring about various ecological influences on biomass carbon, soil organic carbon, and the physical and chemical properties of the soils. However, their impacts on these ecological parameters could differ due to a wide range of life forms, plant communities of the invaded ecosystems, and abiotic conditions. This work was conducted to examine the impacts of Cadia purpurea and Tarchonanthus camphoratus cover on carbon stock in vegetation and soil and soil physicochemical properties in Desa’a forest, northern Ethiopia. Vegetation and soil data were collected from a total of 150 sampling plots (size 20 m × 20 m) from uninvaded and invaded vegetation conditions. The soil samples were collected from topsoil (0–15 and 15–30 cm) of the uninvaded and invaded vegetation conditions. The statistical difference in carbon stock and soil characteristics P < 0.05 of both invaded and uninvaded vegetation conditions were tested using an independent t-test using an R-software. The mean above- and below-ground biomass carbon stocks of the uninvaded vegetation condition (17.62 Mg·C/ha and 4.14 Mg·C/ha, respectively) were found to be significantly higher than those of the invaded vegetation condition (4.73 Mg·C/ha and 1.11 Mg·C/ha, respectively). The mean soil organic carbons (SOC) were significantly higher P < 0.01 in the uninvaded (122.83 Mg·C/ha) than in the invaded (90.13 Mg·C/ha) vegetation condition. The total carbon stock estimates were significantly higher P < 0.01 in the uninvaded vegetation condition (144.59 Mg·C/ha) than in the invaded vegetation condition (95.97 Mg·C/ha). Furthermore, the result revealed that most of the soil characteristics were significantly lower P < 0.05 under the expansive shrubs invaded vegetation conditions except for significantly high sand content P < 0.05 . Silt, nitrogen, phosphorus, calcium, copper, and zinc did not significantly change with the cover of the expansive shrubs. Our results suggest that increased presence of the expansive species decreased carbon trapping and affected most of the soil nutrients within the forest. Hence, to enhance the carbon storage potential and to maintain the soil nutrient status of the forest, proper conservation, monitoring, and management of the existing PNV and controlling a further expansion of the expansive shrubs are required. Further studies will be required on the factors responsible for the difference in carbon stocks and soil nutrients in each vegetation condition in addition to the impacts of the expansive shrubs expansion.

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Dubey, S. K., A. Gavli, and S. S. Ray. "VEGETATION CONDITION INDEX: A POTENTIAL YIELD ESTIMATOR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 211–15. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-211-2019.

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Abstract. Early yield assessment at local, regional and national scales is a major requirement for various users such as agriculture planners, policy makers, crop insurance companies and researchers. Current study explored a remote sensing-based approach of predicting the yield of Wheat, Kharif Rice and Rabi Rice at district level, using Vegetation Condition Index (VCI), under the FASAL programme. In order to make the estimates 14-years’ historical database (2003&ndash;2016) of NDVI was used to derive the VCI. The yield estimation was carried out for 335 districts (136 districts of Wheat, 23 districts of Rabi Rice and 159 districts of Kharif Rice) for the period of 2016&ndash;17. NDVI products (MOD-13A2) of MODIS instrument on board Terra satellite at 16-day interval from first fortnight of peak growing period of crop were used to calculate the VCI. Stepwise regression technique was used to develop empirical models between VCI and historical yield of crops. Estimated yields are good in agreement with the actual district level yield with the R2 of, 0.78 for Wheat, 0.52 for Rabi Rice and 0.69 for Kharif Rice. For all the districts, the empirical models were found to be statistically significant. A large number of statistical parameters were computed to evaluate the performance of VCI-based models in predicting district-level crop yield. Though there was variation in model performance in different states and crops, overall, the study showed the usefulness of VCI, which can be used as an input for operational crop yield forecasting, at district level.

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Seddon, Julian, Mark Bourne, Danielle Murphy, Stuart Doyle, and Sue Briggs. "Assessing vegetation condition in temperate montane grasslands." Ecological Management & Restoration 12, no. 2 (July 24, 2011): 141–44. http://dx.doi.org/10.1111/j.1442-8903.2011.00584.x.

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14

Peng, Xiao Yong, Xin Zhang, Shuai Huang, Xu Sheng Chai, Lan Xia Guo, Fen Wan, and Qing Fang Xie. "Numerical Simulation of the Vegetation Effect on Tailing Sand Atmospheric Transport in Uranium Tailing Impoundment." Advanced Materials Research 726-731 (August 2013): 1613–18. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.1613.

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For two conditions of (non-) vegetation cover in uranium tailings beach face, the concentration distribution and settlement regularity of tailing sand with diameter of 10μm at speed of 0.5, 1, 2, and 4 m/s was studied by numerical simulation method. Results shows, with the increase of wind speed and migration distance, particle concentration decreases. Compared with the non-vegetation cover condition, particles concentration in the condition of with vegetation cover is significantly higher than the condition that without vegetation cover; but along with the increase of horizontal distance, the concentration lowers than the latter gradually.

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Zhang, Jingzhou, Shengtang Zhang, Si Chen, Ming Liu, Xuefeng Xu, Jiansen Zhou, Wenjun Wang, Lijun Ma, and Chuantao Wang. "Overland Flow Resistance Law under Sparse Stem Vegetation Coverage." Water 13, no. 12 (June 14, 2021): 1657. http://dx.doi.org/10.3390/w13121657.

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To explore the characteristics of overland flow resistance under the condition of sparse vegetative stem coverage and improve the basic theoretical research of overland flow, the resistance characteristics of overland flow were systematically investigated under four slope gradients (S), seven flow discharges (Q), and six degrees of vegetation coverage (Cr). The results show that the Manning roughness coefficient (n) changes with the ratio of water depth to vegetation height (h/hv) while the Reynolds number (Re), Froude number (Fr), and slope (S) are closely related to vegetation coverage. Meanwhile, h/hv, Re, and Cr have strong positive correlations with n, while Fr and S have strong negative correlations with n. Through data regression analysis, a power function relationship between n and hydraulic parameters was observed and sensitivity analysis was performed. It was concluded that the relationship between n and h/hv, Re, Cr, Q, and S shows the same law; in particular, for sparse stem vegetation coverage, Cr is the dominant factor affecting overland flow resistance under zero slope condition, while Cr is no longer the first dominant factor affecting overland flow resistance under non-zero slope condition. In the relationship between n and Fr, Cr has the least effect on overland flow resistance. This indicates that when Manning roughness coefficient is correlated with different hydraulic parameters, the same vegetation coverage has different effects on overland flow resistance. Therefore, it is necessary to study overland flow resistance under the condition of sparse stalk vegetation coverage.

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Cole, J., S. Sogayise, and N. Dudumashe. "An overview of vegetation health in the North West Province, South Africa, between 2010 and 2020." IOP Conference Series: Earth and Environmental Science 932, no. 1 (December 1, 2021): 012004. http://dx.doi.org/10.1088/1755-1315/932/1/012004.

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Abstract The North West Province in South Africa is an important contributor to the country’s economy with agriculture and mining the main drivers. Droughts regularly affect the region and impact greatly on farming which in turn has negative socio-economic consequences. Multi-temporal satellite remote sensing data is well suited to study changes in vegetation health. Vegetation and temperature indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor and rainfall data from the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) between 2010 and 2020 showed good vegetation health in 2010 and 2020, but gradually worsening drought condition in the intervening years. Although the entire North West Province is affected by drought, the central and western portions experience the worst conditions. The vegetation condition index, temperature condition index and vegetation health index show a faster recovery along the western edge of the province in 2018 than the rest of the province, a detail not easily visible in the conventional enhanced vegetation index and land surface temperature data. They also show a gradual decrease in vegetation health between 2010 and 2014. A comparison with geology shows that vegetation health is, in part, also linked to the underlying rock types.

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Wang, Keyi, Tiejian Li, and Jiahua Wei. "Exploring Drought Conditions in the Three River Headwaters Region from 2002 to 2011 Using Multiple Drought Indices." Water 11, no. 2 (January 23, 2019): 190. http://dx.doi.org/10.3390/w11020190.

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The Three River Headwaters Region (TRHR) has great uncertainty on drought conditions under climate change. The aim of this study is to compare the drought conditions detected by multiple drought indices across the TRHR. We applied four single drought indices, i.e., Precipitation Condition Index (PCI), Temperature Condition Index (TCI), Soil Moisture Condition Index (SMCI), and Vegetation Condition Index (VCI), and two combined drought indices, i.e., Combined Meteorological Drought Index (CMDI) and Combined Vegetation drought index (CVDI), to explore the drought conditions across the TRHR. Three in situ drought indices, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Non-Parametric Index (SNPI) were used to evaluate the performances of multiple drought indices. The results include various drought conditions detected by multiple drought indices, as well as a comparative study among different drought indices. Through the comparative study, we found that PCI was a desirable single index to monitor meteorological drought. TCI was suitable for monitoring agricultural/vegetation drought. SMCI and VCI should be avoided for monitoring drought in this region. CMDI was an appropriate meteorological drought index, and CVDI was a promising indicator in monitoring agricultural/vegetation drought.

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Swetnam, Tyson L., and Peter M. Brown. "Comparing selected fire regime condition class (FRCC) and LANDFIRE vegetation model results with tree-ring data." International Journal of Wildland Fire 19, no. 1 (2010): 1. http://dx.doi.org/10.1071/wf08001.

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Fire Regime Condition Class (FRCC) has been developed as a nationally consistent interagency method in the US to assess degree of departure between historical and current fire regimes and vegetation structural conditions across differing vegetation types. Historical and existing vegetation map data also are being developed for the nationwide LANDFIRE project to aid in FRCC assessments. Here, we compare selected FRCC and LANDFIRE vegetation characteristics derived from simulation modeling with similar characteristics reconstructed from tree-ring data collected from 11 forested sites in Utah. Reconstructed reference conditions based on trees present in 1880 compared with reference conditions modeled by the Vegetation Dynamics Development Tool for individual Biophysical Settings (BpS) used in FRCC and LANDFIRE assessments showed significance relationships for ponderosa pine, aspen, and mixed-conifer BpS but not for spruce–fir, piñon–juniper, or lodgepole pine BpS. LANDFIRE map data were found to be ~58% accurate for BpS and ~60% accurate for existing vegetation types. Results suggest that limited sampling of age-to-size relationships by different species may be needed to help refine reference condition definitions used in FRCC assessments, and that more empirical data are needed to better parameterize FRCC vegetation models in especially low-frequency fire types.

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Elesova, N. V. "CONTEMPORARY VEGETATION CONDITION IN KORNILOVSKY RESERVE (ALTAI KRAI)." Proceedings of the Tigirek State Natural Reserve, no. 7 (2015): 207–9. http://dx.doi.org/10.53005/20767390_2015_7_207.

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Briggs, Sue V., and David Freudenberger. "Assessment and monitoring of vegetation condition: Moving forward." Ecological Management and Restoration 7, s1 (June 2006): S74—S76. http://dx.doi.org/10.1111/j.1442-8903.2006.293_5.x.

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Sheffield, Kathryn. "Analysis of vegetation condition using remote sensing technologies." Ecological Management and Restoration 7, s1 (June 2006): S77. http://dx.doi.org/10.1111/j.1442-8903.2006.298_1.x.

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Stenhouse, Renae N. "Assessing Disturbance and Vegetation Condition in Urban Bushlands." Australasian Journal of Environmental Management 12, no. 1 (January 2005): 16–26. http://dx.doi.org/10.1080/14486563.2005.10648630.

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LIU, W. T., and F. N. KOGAN. "Monitoring regional drought using the Vegetation Condition Index." International Journal of Remote Sensing 17, no. 14 (September 1996): 2761–82. http://dx.doi.org/10.1080/01431169608949106.

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Deimeke, Elizabeth, Matthew J. Cohen, and Kelly C. Reiss. "Temporal stability of vegetation indicators of wetland condition." Ecological Indicators 34 (November 2013): 69–75. http://dx.doi.org/10.1016/j.ecolind.2013.04.022.

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Kharuk, V. I., A. M. Al'shanskiy, and V. V. Yegorov. "REMOTE SENSING IN THE ASSESSMENT OF VEGETATION CONDITION." Mapping Sciences and Remote Sensing 28, no. 4 (October 1991): 323–31. http://dx.doi.org/10.1080/07493878.1991.10641882.

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Feketa, І. "The characteristic of vegetation of a mountain valley Runa of Carpathians in conditions of anthropogenous transformation." Visnyk of the Lviv University. Series Geography, no. 45 (May 20, 2014): 137–43. http://dx.doi.org/10.30970/vgg.2014.45.1158.

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The results of researches the geobotanical description of the polonina Runa Carpathians vegetation. The detailed analysis of anthropogenic factor the trample, the damaging of shoot plant. Key words: natural populations, vegetative groupings, condition of cultivation, anthropogenic factor.

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Oliver, Ian, Peter L. Smith, Ian Lunt, and David Parkes. "Pre-1750 vegetation, naturalness and vegetation condition: What are the implications for biodiversity conservation?" Ecological Management and Restoration 3, no. 3 (December 2002): 176–78. http://dx.doi.org/10.1046/j.1442-8903.2002.00110.x.

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Moesinger, Leander, Ruxandra-Maria Zotta, Robin van der Schalie, Tracy Scanlon, Richard de Jeu, and Wouter Dorigo. "Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI)." Biogeosciences 19, no. 21 (November 7, 2022): 5107–23. http://dx.doi.org/10.5194/bg-19-5107-2022.

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Abstract. Vegetation conditions can be monitored on a global scale using remote sensing observations in various wavelength domains. In the microwave domain, data from various spaceborne microwave missions are available from the late 1970s onwards. From these observations, vegetation optical depth (VOD) can be estimated, which is an indicator of the total canopy water content and hence of above-ground biomass and its moisture state. Observations of VOD anomalies would thus complement indicators based on visible and near-infrared observations, which are primarily an indicator of an ecosystem's photosynthetic activity. Reliable long-term vegetation state monitoring needs to account for the varying number of available observations over time caused by changes in the satellite constellation. To overcome this, we introduce the standardized vegetation optical depth index (SVODI), which is created by combining VOD estimates from multiple passive microwave sensors and frequencies. Different frequencies are sensitive to different parts of the vegetation canopy. Thus, combining them into a single index makes this index sensitive to deviations in any of the vegetation parts represented. SSM/I-, TMI-, AMSR-E-, WindSat- and AMSR2-derived C-, X- and Ku-band VODs are merged in a probabilistic manner resulting in a vegetation condition index spanning from 1987 to the present. SVODI shows similar temporal patterns to the well-established optical vegetation health index (VHI) derived from optical and thermal data. In regions where water availability is the main control on vegetation growth, SVODI also shows similar temporal patterns to the meteorological drought index scPDSI (self-calibrating Palmer drought severity index) and soil moisture anomalies from ERA5-Land. Temporal SVODI patterns relate to the climate oscillation indices SOI (Southern Oscillation index) and DMI (dipole mode index) in the relevant regions. It is further shown that anomalies occur in VHI and soil moisture anomalies before they occur in SVODI. The results demonstrate the potential of VOD to monitor the vegetation condition, supplementing existing optical indices. It comes with the advantages and disadvantages inherent to passive microwave remote sensing, such as being less susceptible to cloud coverage and solar illumination but at the cost of a lower spatial resolution. The index generation is not specific to VOD and could therefore find applications in other fields. The SVODI products (Moesinger et al., 2022) are open-access under Attribution 4.0 International and available at Zenodo, https://doi.org/10.5281/zenodo.7114654.

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Won, Jeongeun, and Sangdan Kim. "Ecological Drought Condition Index to Monitor Vegetation Response to Meteorological Drought in Korean Peninsula." Remote Sensing 15, no. 2 (January 6, 2023): 337. http://dx.doi.org/10.3390/rs15020337.

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Droughts caused by meteorological factors such as a long-term lack of precipitation can propagate into several types of drought through the hydrological cycle. Among them, a phenomenon in which drought has a significant impact on the ecosystem can be defined as an ecological drought. In this study, the Ecological Drought Condition Index-Vegetation (EDCI-veg) was newly proposed to quantitatively evaluate and monitor the effects of meteorological drought on vegetation. A copula-based bivariate joint probability distribution between vegetation information and drought information was constructed, and EDCI-veg was derived from the joint probability model. Through the proposed EDCI-veg, it was possible to quantitatively estimate how much the vegetation condition was affected by the drought, and to identify the timing of the occurrence of the vegetation drought and the severity of the vegetation drought. In addition, as a result of examining the applicability of the proposed EDCI-veg by comparing past meteorological drought events with the corresponding vegetation conditions, it was found that EDCI-veg can reasonably monitor vegetation drought. It has been shown that the newly proposed EDCI-veg in this study can provide useful information on the ecological drought condition that changes with time. On the other hand, the ecological drought analysis based on the type of land cover showed that the response of vegetation to meteorological drought was different depending on the land cover. In particular, it was revealed that the vegetation inhabiting the forest has a relatively high resistance to meteorological drought.

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Boudjemline, Fouzia, and Denidina Benlabiod. "The use of Standardized Precipitation Index values (SPI) and MODIS vegetation indices to assess drought of steppe regions, Algeria." Technium Social Sciences Journal 36 (October 8, 2022): 641–59. http://dx.doi.org/10.47577/tssj.v36i1.7405.

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Drought events were assessed using remote sensing index MODIS (MODerate resolution Imaging Spectroradiometer) and Standardized Precipitation Index (SPI) over the steppe regions of Algeria between 2000 and 2012. In this study, the Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) were determined from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The VCI (Vegetation Condition Index) was based on the Normalized Difference Vegetation Index (NDVI) datasets. The TCI (Temperature Condition Index) was derived from land surface temperature (LST) datasets. The VCI and TCI were then combined to calculate the Vegetation Health Index (VHI). Also, the one-month Standardized Precipitation Index (SPI) data from rainfall stations in the study area was calculated. The results show that years of normal condition (least drought) were year 2006, 2009, 2010 and 2012. However, all indices recorded a drought with different classes for 2000, 2001, 2002, 2003, 2004, 2005, 2007,2008 and 2011 can be considered unusual conditions. According to the results obtained from this study, a large part of the study area is located in severe of drought classes that likely is related to the rainfall reduction and topographic characteristics of the area and poor vegetation, which need more attention to water resource management in this region.

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Ryu, Yonguk, Joongu Kang, Un Ji, Sanghwa Jung, Changlae Jang, and Ellis Penning. "Flow patterns over vegetation patches in the natural channel." E3S Web of Conferences 40 (2018): 02059. http://dx.doi.org/10.1051/e3sconf/20184002059.

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This study carried out experiments to investigate the effects of vegetation patches of rooted willows on the flow pattern. Stream-scale experiments on vegetated flows were performed for various hydraulic conditions: emergent and submerged conditions of vegetation. Vegetation patches were arranged by alternative bar formation and the flows in vegetated and non-vegetated sections were compared. Three-dimensional flow velocity was measured by ADV (Acoustic Doppler Velocimeter) and ADCP (Acoustic Doppler Current Profiler). Vertical, cross-sectional, and longitudinal velocity distributions were provided for different hydraulic conditions at various points. Flow velocities through the sparse patch were similar to those of non-vegetation area for low flow condition of emergent vegetation. Dense and submerged vegetation produced more complicated and non-uniform flows over the cross-sections of vegetation patches.

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Zagade, Nayan, Ajaykumar Kadam, Bhavana Umrikar, and Bhagyashri Maggirwar. "Remote Sensing Based Assessment of Agricultural Droughts in Sub-Watersheds of Upper Bhima Basin, India." Remote Sensing of Land 2, no. 2 (July 12, 2019): 105–11. http://dx.doi.org/10.21523/gcj1.18020204.

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Drought assessment for agricultural sector is vital in order to deal with the water scarcity in Ahmednagar and Pune districts, particularly in sub-watersheds of upper catchment of the River Bhima. Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite data (2000, 2002, 2009, 2014, 2015 and 2017) for the years receiving less rainfall have been procured and various indices were computed to understand the intensity of agricultural droughts in the area. Vegetation health index (VHI) is computed on the basis of vegetation moisture, vegetation condition and land surface temperature condition. Most of the reviewed area shows moderate to extreme drought conditions.

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Mohamedalmontasir AM Mohamed. "Assessment of rangelands condition in low rainfall savannah of Sudan." GSC Advanced Research and Reviews 7, no. 3 (June 30, 2021): 109–14. http://dx.doi.org/10.30574/gscarr.2021.7.3.0132.

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Vegetation measurement was conducted on the rangelands of Western Darfur State at Zalingei locality at late rainy season of 2015 and 2016. The purpose of the study was to assess range condition through determining forage production and herbaceous cover at western part of Zalingei town. The sampling procedure was based on locating random ten (10) transects and two quadrats in each transect were chosen, the herbaceous assessments included composition, species frequency, cover, density and biomass. The results showed that overgrazing was considered as the major factor responsible for the low vegetation cover and yield in the study area due to the concentration of high numbers of animals during the rainy season. The result indicated that continuous intense grazing causing vegetation changes such as the replacement of palatable grasses by less palatable plant species. Further research works is needed to monitoring vegetation change and to assess the rangelands for their improvement and management.

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Han, Yang, Ziying Li, Chang Huang, Yuyu Zhou, Shengwei Zong, Tianyi Hao, Haofang Niu, and Haiyan Yao. "Monitoring Droughts in the Greater Changbai Mountains Using Multiple Remote Sensing-Based Drought Indices." Remote Sensing 12, no. 3 (February 6, 2020): 530. http://dx.doi.org/10.3390/rs12030530.

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Various drought indices have been developed to monitor drought conditions. Each index has typical characteristics that make it applicable to a specific environment. In this study, six popular drought indices, namely, precipitation condition index (PCI), temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI), scaled drought condition index (SDCI), and temperature–vegetation dryness index (TVDI), have been used to monitor droughts in the Greater Changbai Mountains(GCM) in recent years. The spatial pattern and temporal trend of droughts in this area in the period 2001–2018 were explored by calculating these indices from multi-source remote sensing data. Significant spatial–temporal variations were identified. The results of a slope analysis along with the F-statistic test showed that up to 20% of the study area showed a significant increasing or decreasing trend in drought. It was found that some drought indices cannot be explained by meteorological observations because of the time lag between meteorological drought and vegetation response. The drought condition and its changing pattern differ from various land cover types and indices, but the relative drought situation of different landforms is consistent among all indices. This work provides a basic reference for reasonably choosing drought indices for monitoring drought in the GCM to gain a better understanding of the ecosystem conditions and environment.

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Liu, Chungang, Huanjun Bi, Dong Wang, and Xiaoning Li. "Stability Reinforcement of Slopes Using Vegetation Considering the Existence of Soft Rock." Applied Sciences 11, no. 19 (October 4, 2021): 9228. http://dx.doi.org/10.3390/app11199228.

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This study investigates the effectiveness of vegetation reinforcement on the stability of a slope with red-bed soft rock in a slope along the Xining-Chengdu railway, China. Four kinds of vegetation were considered to reinforce the soil and the slope. The rooted soil parameters were determined based on the laboratory tests. A numerical model was developed based on the actual geometry and soil layer distributions. The soils were modeled as elastic perfectly plastic materials and the vegetation reinforcement was represented as addition cohesion of a series of subsoil layers within a given depth. The effectiveness of vegetation on slope reinforcement under both dry and rainfall conditions was investigated regarding this case. The potential failure surface and corresponding factor of safety of the red-bed soft rock slope for those different conditions were analyzed and compared. It has been found that the addition of vegetation increased the safety of slope stability whether the slope is under a dry condition or a rainfall condition, while the increasing proportion of factor of safety due to vegetation reinforcement for this case is very limited. The results and findings in this study are still significant for the practitioner to evaluate the reasonability of vegetation reinforcement.

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Yang, Siyao, Dan Meng, Huili Gong, Xiaojuan Li, and Xinling Wu. "Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data." Advances in Meteorology 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/1818727.

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Drought is a natural disaster caused by long-term water deficit. Because the growth of crops and vegetation is closely related to soil moisture environment, it is of great significance to study the soil drought and vegetation response. In this paper, the soil moisture availability index (SMAI) was developed for quantifying soil drought conditions. The effectiveness and the ability of SMAI to recognize drought events were analyzed, while the vegetation condition index (VCI) was used to characterize the vegetation status. Temporal and spatial variations of soil drought and vegetation condition as well as the impacts of drought on vegetation in North China during 2001–2015 were comprehensively examined. We firstly concluded that SMAI related well with standardized precipitation evapotranspiration index (SPEI), and drought events can be detected by SMAI. Next, the mean value of SMAI in North China showed a decreasing trend in recent 15 years. Finally, the SMAI positively correlated with VCI in most areas of North China, and the response of four types of vegetation to SMAI differed over time. The results of SMAI on vegetation would assist drought research and application in North China.

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Higgisson, William P., Paul O. Downey, and Fiona J. Dyer. "Changes in Vegetation and Geomorphological Condition 10 Years after Riparian Restoration." Water 11, no. 6 (June 14, 2019): 1252. http://dx.doi.org/10.3390/w11061252.

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Riparian restoration is an important objective for landscape managers seeking to redress the widespread degradation of riparian areas and the ecosystem services they provide. This study investigated the long-term outcomes of ‘one-off’ restoration activities undertaken in the Upper Murrumbidgee Catchment, NSW, Australia. The objective of the restoration was to protect and enhance riparian vegetation and control erosion, and consequently reduce sediment and nutrient delivery into the Murrumbidgee River. To evaluate the outcomes 10 years after restoration, rapid riparian vegetation and geomorphological assessments were undertaken at 29 sites spanning the four different restoration methods used (at least five replicates per treatment), as well as at nine comparable untreated sites. We also trialed the use of aerial imagery to compare width of riparian canopy vegetation and projective foliage cover prior to restoration with that observed after 10 years. Aerial imagery demonstrated the width of riparian canopy vegetation and projective foliage cover increased in all restored sites, especially those with native plantings. The rapid assessment process indicated that 10 years after riparian restoration, the riparian vegetation was in a better condition at treated sites compared to untreated sites. Width of riparian canopy vegetation, native mid-storey cover, native canopy cover and seedling recruitment were significantly greater in treated sites compared to untreated sites. Geomorphological condition of treated sites was significantly better than untreated sites, demonstrating the importance of livestock exclusion to improve bank and channel condition. Our findings illustrate the value of ‘one-off’ restoration activities in achieving long-term benefits for riparian health. We have demonstrated that rapid assessments of the vegetation and geomorphological condition can be undertaken post-hoc to determine the long-term outcomes, especially when supported with analysis of historical aerial imagery.

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Choroś, T., T. Oberski, and T. Kogut. "UAV IMAGING AT RGB FOR CROP CONDITION MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1521–25. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1521-2020.

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Abstract. Modern techniques such as precision agriculture tasks are provided to intentional fertilization, pesticide dosing or simply watering the crops. These tasks need to be continuously monitored. One of known method for analyzing the crops conditions is calculating the vegetation indexes. This paper focuses on purpose of using images made with UAV equipped with ordinary non-metric digital RGB camera. The methods had been taken revealed easy to use and cost effective. We present an experiment which attend to distinguish different crops conditions on two test fields sowed with wheat and rape. For this purpose, two different RGB based vegetation indexes were analyzed. The results of calculated indexes shown how crops differs in each stage of vegetation. During the first stage (germinating) the plants are green and average TGI is low. It increases at second stage (flowering) because of plant flowers, which partly cover the leaves. At last stage (ripening) TGI decreases, so plants are still green but starting to dry and change their color.

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Krtalić, Andrija, Dario Linardić, and Renata Pernar. "Framework for Spatial and Temporal Monitoring of Urban Forest and Vegetation Conditions: Case Study Zagreb, Croatia." Sustainability 13, no. 11 (May 27, 2021): 6055. http://dx.doi.org/10.3390/su13116055.

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Urban forest and vegetation conditions are an important variable in urban ecosystem management decision-making. However, it is difficult to evaluate and monitor solely on the basis of field measurements. Remote sensing technologies can greatly contribute to the faster extraction and mapping of vegetation health status indicators, on the basis of which agronomy and forestry experts can draw conclusions about the condition of urban vegetation in larger areas. A new remote sensing-based urban forest and vegetation cover monitoring framework is presented and applied to a case study of the city of Zagreb, Croatia. In this study, Sentinel-2 multi-temporal imagery was used to derive and analyze the current state of urban forest cover. Vegetation indices (NDVI, RVI, and GRVI) were calculated. K-means unsupervised classification of the vegetation indices was conducted. In this way, the dimensionality of the vegetation indices was reduced, while all the data contained in it were used to represent their graded values. Vegetation that was in a poor condition stood out better that way. Finally, PCA-based change detection was performed on the vegetation indices graded values, and a map of change was produced. These results need to be interpreted and validated by foresters and agronomists in further research.

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Watts, Christopher J., Russell L. Scott, Jaime Garatuza-Payan, Julio C. Rodriguez, John H. Prueger, William P. Kustas, and Michael Douglas. "Changes in Vegetation Condition and Surface Fluxes during NAME 2004." Journal of Climate 20, no. 9 (May 1, 2007): 1810–20. http://dx.doi.org/10.1175/jcli4088.1.

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Abstract The vegetation in the core region of the North American monsoon (NAM) system changes dramatically after the onset of the summer rains so that large changes may be expected in the surface fluxes of radiation, heat, and moisture. Most of this region lies in the rugged terrain of western Mexico and very few measurements of these fluxes have been made in the past. Surface energy balance measurements were made at seven sites in Sonora, Mexico, and Arizona during the intensive observation period (IOP) of the North American Monsoon Experiment (NAME) in summer 2004 to better understand how land surface vegetation change alters energy flux partitioning. Satellite data were used to obtain time series for vegetation indices and land surface temperature for these sites. The results were analyzed to contrast conditions before the onset of the monsoon with those afterward. As expected, precipitation during the 2004 monsoon was highly variable from site to site, but it fell in greater quantities at the more southern sites. Likewise, large changes in the vegetation index were observed, especially for the subtropical sites in Sonora. However, the changes in the broadband albedo were very small, which was rather surprising. The surface net radiation was consistent with the previous observations, being largest for surfaces that are transpiring and cool, and smallest for surfaces that are dry and hot. The largest evaporation rates were observed for the subtropical forest and riparian vegetation sites. The evaporative fraction for the forest site was highly correlated with its vegetation index, except during the dry spell in August. This period was clearly detected in the land surface temperature data, which rose steadily in this period to a maximum at its end.

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Hayati, Zinatul, Saumi Syahreza, and M. Syukri Surbakti. "NDVI Based Analysis on the Impact of 2004 Tsunami Disaster Recovery Toward Vegetation Condition in Banda Aceh." Journal of Aceh Physics Society 8, no. 3 (September 24, 2019): 66–71. http://dx.doi.org/10.24815/jacps.v8i3.12688.

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Perubahan tutupan lahan banyak terdapat di kota-kota yang sedang berkembang. Banda Aceh, Indonesia merupakan salah satu provinsi yang sudah mengalami peningkatan jumlah penduduk dan percepatan pembangunan. Pasca bencana gempa dan tsunami 2004 perubahan penggunaan dan tutupan lahan (land use and land cover change/LULC) terlihat semakin meluas, dan hal ini berdampak pada berkurangnya lahan vegetatif. Artikel ini menjelaskan cara menganalisis NDVI dengan mengunakan data citra satelit Landsat 5 dan 8 untuk mengetahui kerapatan vegetasi di wilayah Banda Aceh dengan 9 kecamatan yang diambil tahun 2004, 2009, dan 2017. Studi ini mengidentifikasi antara pola perubahan tutupan lahan dan menyelidiki dampak tsunami, sehingga banyak kehilangan vegetasi pada lingkungan tersebut. Penelitian ini menggunakan Sistem Informasi Geografis (GIS) dimana tahap awal adalah mengumpulkan data citra satelit. Pada tahap kedua dilakukan pengolahan data menggunakan software PCI Geomatika 2016. Hasil analisa citra menjelaskan tahun 2004, 2009 dan 2017 kawasan kehijauan, masih banyak terdapat di kecamatan Lueng Bata, Ulee Kareng dan Banda Raya. Changes in land cover are often found in developing cities. Banda Aceh is one of the provinces in Indonesia that experiences an increase in the population and accelerated development. Land use and land cover (LULC) have increased dramatically since the 2004 earthquake and tsunami disaster and continued to reduce the vegetative land. This article explains how to analyze NDVI using Landsat 5 and 8 of the satellite image data. It aims to determine the vegetation density of Banda Aceh in 9 sub-districts taken in 2004, 2009 and 2017. This study identified patterns of changes in land cover and investigated the impact of the tsunami on the vegetational loss of the environment. Geographic Information System (GIS) was used in the study in which the satellite image data were collected before they were processed in the PCI Geomatika 2016 software. The results indicate that in the years of 2004, 2009 and 2017, many green areas are present in Lueng Bata, Ulee Kareng and Banda Raya sub-district. Keywords: Remote Sensing, Landsat Imagery, and NDVI

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Salakpi, Edward E., Peter D. Hurley, James M. Muthoka, Andrew Bowell, Seb Oliver, and Pedram Rowhani. "A dynamic hierarchical Bayesian approach for forecasting vegetation condition." Natural Hazards and Earth System Sciences 22, no. 8 (August 23, 2022): 2725–49. http://dx.doi.org/10.5194/nhess-22-2725-2022.

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Abstract. Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vast areas with varying spatial effects, differing in areas with a particular vegetation land cover or specific agro-ecological sub-regions. These spatial variations imply that monitoring and forecasting agricultural drought require complex models that consider the spatial variations in a given region of interest. Hierarchical Bayesian models are suited for modelling such complex systems. Using partially pooled data with sub-groups that characterise spatial differences, these models can capture the sub-group variation while allowing flexibility and information sharing between these sub-groups. This paper's objective is to improve the accuracy and precision of agricultural drought forecasting in spatially diverse regions with a hierarchical Bayesian model. Results showed that the hierarchical Bayesian model was better at capturing the variability for the different agro-ecological zones and vegetation land covers compared to a regular Bayesian auto-regression distributed lags model. The forecasted vegetation condition and associated drought probabilities were more accurate and precise with the hierarchical Bayesian model at 4- to 10-week lead times. Forecasts from the hierarchical model exhibited higher hit rates with a low probability of false alarms for drought events in semi-arid and arid zones. The hierarchical Bayesian model also showed good transferable forecast skills over counties not included in the training data.

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Rozenberg, G. "Quantitative methods of classification of vegetation: condition, problems, optimization." Plant Biology and Horticulture: theory, innovation, no. 154 (October 21, 2020): 45–55. http://dx.doi.org/10.36305/2712-7788-2020-1-154-45-55.

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The main stages of creating automatic vegetation classification procedures (contingency indices, similarity coefficients, simple algorithms for automatic classification - construction of dendrograms, dendrites, correlation pleiades, etc.) are discussed. The reduction of the number of features (types) is considered as the first condition for the optimization of the classification procedure. The results of the experiment on the reduction of species with the automatic classification of 50 descriptions of Achnatherum splendens (Trin.) Nevski formation in the floodplain of theTuulRiverinMongoliaare discussed. It is concluded that new successes in the automatic classification of vegetation should be expected not in the direction of developing some new methods, but in advancing new ideas about the structure and character of the dynamics of plant communities (paradigm shift).

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Hernández-Gómez, Obed, Allison Q. Byrne, Alex R. Gunderson, Thomas S. Jenkinson, Clay F. Noss, Andrew P. Rothstein, Molly C. Womack, and Erica B. Rosenblum. "Invasive vegetation affects amphibian skin microbiota and body condition." PeerJ 8 (February 19, 2020): e8549. http://dx.doi.org/10.7717/peerj.8549.

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Invasive plants are major drivers of habitat modification and the scale of their impact is increasing globally as anthropogenic activities facilitate their spread. In California, an invasive plant genus of great concern is Eucalyptus. Eucalyptus leaves can alter soil chemistry and negatively affect underground macro- and microbial communities. Amphibians serve as excellent models to evaluate the effect of Eucalyptus invasion on ground-dwelling species as they predate on soil arthropods and incorporate soil microbes into their microbiotas. The skin microbiota is particularly important to amphibian health, suggesting that invasive plant species could ultimately affect amphibian populations. To investigate the potential for invasive vegetation to induce changes in microbial communities, we sampled microbial communities in the soil and on the skin of local amphibians. Specifically, we compared Batrachoseps attenuatus skin microbiomes in both Eucalyptus globulus (Myrtaceae) and native Quercusagrifolia (Fagaceae) dominated forests in the San Francisco Bay Area. We determined whether changes in microbial diversity and composition in both soil and Batrachoseps attenuatus skin were associated with dominant vegetation type. To evaluate animal health across vegetation types, we compared Batrachoseps attenuatus body condition and the presence/absence of the amphibian skin pathogen Batrachochytrium dendrobatidis. We found that Eucalyptus invasion had no measurable effect on soil microbial community diversity and a relatively small effect (compared to the effect of site identity) on community structure in the microhabitats sampled. In contrast, our results show that Batrachoseps attenuatus skin microbiota diversity was greater in Quercus dominated habitats. One amplicon sequence variant identified in the family Chlamydiaceae was observed in higher relative abundance among salamanders sampled in Eucalyptus dominated habitats. We also observed that Batrachoseps attenuatus body condition was higher in Quercus dominated habitats. Incidence of Batrachochytrium dendrobatidis across all individuals was very low (only one Batrachochytrium dendrobatidis positive individual). The effect on body condition demonstrates that although Eucalyptus may not always decrease amphibian abundance or diversity, it can potentially have cryptic negative effects. Our findings prompt further work to determine the mechanisms that lead to changes in the health and microbiome of native species post-plant invasion.

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Gibbons, Philip, Andre Zerger, Simon Jones, and Paul Ryan. "Mapping vegetation condition in the context of biodiversity conservation." Ecological Management and Restoration 7, s1 (June 2006): S1—S2. http://dx.doi.org/10.1111/j.1442-8903.2006.00282.x.

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Newell, Graeme R., Matt D. White, Peter Griffioen, and Michael Conroy. "Vegetation condition mapping at a landscape-scale across Victoria." Ecological Management and Restoration 7, s1 (June 2006): S65—S68. http://dx.doi.org/10.1111/j.1442-8903.2006.293_2.x.

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Gebrehiwot, Tagel, Anne Van der Veen, and Ben Maathuis. "Governing agricultural drought: Monitoring using the vegetation condition index." Ethiopian Journal of Environmental Studies and Management 9, no. 3 (May 26, 2016): 354. http://dx.doi.org/10.4314/ejesm.v9i3.9.

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Wójcik-Gront, Elżbieta, Dariusz Gozdowski, and Wojciech Stępień. "UAV-Derived Spectral Indices for the Evaluation of the Condition of Rye in Long-Term Field Experiments." Agriculture 12, no. 10 (October 12, 2022): 1671. http://dx.doi.org/10.3390/agriculture12101671.

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The aim of the study was to evaluate the effect of various fertilization treatments, including nitrogen, potassium and phosphorus fertilization, in long-term experiments for selected UAV (unmanned aerial vehicle)-derived spectral vegetation indices (NDVI—Normalized Difference Vegetation Index, NDRE—Normalized Difference Red Edge Index, VARI—Visible Atmospherically Resistant Index, TGI—Triangular Greenness Index, SIPI2—Structure Insensitive Pigment Index 2, LCI—Leaf Chlorophyll Index, BNDVI—Blue Normalized Difference Vegetation Index, GNDVI—Green Normalized Difference Vegetation Index, MCARI—Modified Chlorophyll Absorption in Reflective Index) based on multispectral (bands in the range of visible light and near infra-red) images of winter rye. The strongest effect on the studied vegetation indices was nitrogen fertilization, which discriminated values of most of the vegetation indices. The effect of phosphorus and potassium fertilization on the studied vegetation indices was much weaker. The treatments with nitrogen fertilization had significantly higher values of most vegetation indices in comparison to treatments without nitrogen. This was confirmed by principal component analysis (PCA), in which treatments without nitrogen fertilization were very different in comparison to all other treatments where nitrogen fertilization was applied. The effect of phosphorus and potassium fertilization on most of vegetation indices was relatively weak and not significant in most experiments. Only for rye cultivated in monoculture was the effect of phosphorus fertilization significant for most of vegetation indices in early growth stages. In later growth stages (heading and flowering) the effect of phosphorus fertilization was significant in rye monoculture for the SIPI2 vegetation index. Mean SIPI2 was higher for the fertilization treatment CaNPK in comparison to CaKN (without P fertilization). The effect of potassium fertilization on the studied vegetation indices was very weak, and in most cases not significant. The effect of nitrogen fertilization on vegetation indices was much stronger than effect of both potassium and phosphorus fertilization.

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Hrivnák, Richard, Milan Valachovič, and Ján Ripka. "Relation between macrophyte vegetation and environmental condition in the Ipel' River (Slovakia) - case study." River Systems 14, no. 1-2 (June 24, 2003): 117–27. http://dx.doi.org/10.1127/lr/14/2003/117.

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Dhawale, R., and S. K. Paul. "A COMPARATIVE ANALYSIS OF DROUGHT INDICES ON VEGETATION THROUGH REMOTE SENSING FOR LATUR REGION OF INDIA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 403–7. http://dx.doi.org/10.5194/isprs-archives-xlii-5-403-2018.

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Abstract. Drought intensifies stress on the water resource which is already in a critical condition due to rapid urbanization and population growth thus, affecting people, economy, and environment. The drought conditions are worsening in many parts of India due to deficit rainfall, change in land and surface temperature, and vegetation pattern coupled with mismanagement of water resources and poor governance. The present study conducted for Latur, Marathwada is an agricultural rich land which is severely affected due to prolonged drought conditions. A comparative study is presented using the three drought indices VCI, VHI, TCI to analyze the vegetation condition for drought years. The results through TCI detects the drought only during the dry period or in the months where the temperature is high. The VCI detects drought conditions as more sensitive in wet seasons. The VHI combines both the indicators to give comprehensive results about drought conditions. Further, Land Surface Temperature study is conducted to substantiate the analyzed drought conditions. Our study illustrates that the comparative analysis of various indices represents a better interpretation and monitoring of drought for the areas which are majorly affected due to vegetative drought.

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Journal articles on the topic 'Vegetation condition'

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