Добірка наукової літератури з теми "Land Surface Water Index"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Land Surface Water Index".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Land Surface Water Index"
Christian, Jordan I., Jeffrey B. Basara, Lauren E. L. Lowman, Xiangming Xiao, Daniel Mesheske, and Yuting Zhou. "Flash drought identification from satellite-based land surface water index." Remote Sensing Applications: Society and Environment 26 (April 2022): 100770. http://dx.doi.org/10.1016/j.rsase.2022.100770.
Повний текст джерелаLi, Li, Qidi Yu, Ling Gao, Bin Yu, and Zhipeng Lu. "The Effect of Urban Land-Use Change on Runoff Water Quality: A Case Study in Hangzhou City." International Journal of Environmental Research and Public Health 18, no. 20 (October 13, 2021): 10748. http://dx.doi.org/10.3390/ijerph182010748.
Повний текст джерелаCui, Yaoping, Yiming Fu, Nan Li, Xiaoyan Liu, Zhifang Shi, Jinwei Dong, and Yan Zhou. "A Novel Approach for Automatic Urban Surface Water Mapping with Land Surface Temperature (AUSWM)." Remote Sensing 14, no. 13 (June 25, 2022): 3060. http://dx.doi.org/10.3390/rs14133060.
Повний текст джерелаChowdhury, Tahmid Anam, and Md Saiful Islam. "Assessing and Simulating Impacts of Land Use Land Cover Changes on Land Surface Temperature in Mymensingh City, Bangladesh." Environment and Natural Resources Journal 20, no. 2 (November 26, 2021): 1–19. http://dx.doi.org/10.32526/ennrj/20/202100110.
Повний текст джерелаCiężkowski, Wojciech, Sylwia Szporak-Wasilewska, Małgorzata Kleniewska, Jacek Jóźwiak, Tomasz Gnatowski, Piotr Dąbrowski, Maciej Góraj, Jan Szatyłowicz, Stefan Ignar, and Jarosław Chormański. "Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats." Remote Sensing 12, no. 4 (February 14, 2020): 631. http://dx.doi.org/10.3390/rs12040631.
Повний текст джерелаNgandam Mfondoum, A. H., P. G. Gbetkom, R. Cooper, S. Hakdaoui, and M. B. Mansour Badamassi. "IMPROVING THE LAND SURFACE GENERAL DROUGHT INDEX MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11 (February 14, 2020): 101–8. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w11-101-2020.
Повний текст джерелаMarthews, T. R., S. J. Dadson, B. Lehner, S. Abele, and N. Gedney. "A high-resolution global dataset of topographic index values for use in large-scale hydrological modelling." Hydrology and Earth System Sciences Discussions 11, no. 6 (June 12, 2014): 6139–66. http://dx.doi.org/10.5194/hessd-11-6139-2014.
Повний текст джерелаYang, Liangyan, Jianfeng Li, Zenghui Sun, Jinbao Liu, Yuanyuan Yang, and Tong Li. "Daily actual evapotranspiration estimation of different land use types based on SEBAL model in the agro-pastoral ecotone of northwest China." PLOS ONE 17, no. 3 (March 15, 2022): e0265138. http://dx.doi.org/10.1371/journal.pone.0265138.
Повний текст джерелаMolekoa, Mmasabata, Ram Avtar, Pankaj Kumar, Huynh Thu Minh, Rajarshi Dasgupta, Brian Johnson, Netrananda Sahu, Ram Verma, and Ali Yunus. "Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa." Water 13, no. 2 (January 18, 2021): 220. http://dx.doi.org/10.3390/w13020220.
Повний текст джерелаBerhanu, Belete, and Ethiopia Bisrat. "Identification of Surface Water Storing Sites Using Topographic Wetness Index (TWI) and Normalized Difference Vegetation Index (NDVI)." Journal of Natural Resources and Development 8 (September 7, 2018): 91–100. http://dx.doi.org/10.5027/jnrd.v8i0.09.
Повний текст джерелаДисертації з теми "Land Surface Water Index"
Gortan, Emmanuelle. "Misura dello stato idrico di fraxinus ornus L. quale biomonitor dell'aridità ambientale in siti diversi del carso triestino." Doctoral thesis, Università degli studi di Trieste, 2008. http://hdl.handle.net/10077/2658.
Повний текст джерелаL'aridità è una condizione ambientale che comporta una ridotta disponibilità d'acqua per le piante all'interno del suolo. La disponibilità d'acqua rappresenta, unitamente alla temperatura, il fattore ambientale che più di ogni altro condiziona la distribuzione e la produttività primaria della vegetazione. Poiché una prolungata aridità ambientale ha serie conseguenze sulla produttività degli ecosistemi forestali e sulla sopravvivenza di alcune specie vegetali meno competitive di altre in tali condizioni, è di fondamentale importanza quantificare il livello di aridità ambientale per poterne prevedere l'impatto attuale e le tendenze in atto. Il progetto di ricerca si poneva quindi l’obiettivo di individuare e definire un indice di aridità ambientale, che consentisse di rappresentare le relazioni che la pianta contrae con l’acqua presente nell’ambiente in funzione della risposta fisiologica della pianta al variare del contenuto idrico del suolo, attraverso un valore unico a significato ecofisiologico. L'individuazione di un parametro ecofisiologico in grado di stimare in modo affidabile l'impatto dello stress idrico poneva le basi per valutare possibili correlazioni con parametri ottenibili con il telerilevamento. Un'altra finalità del lavoro era, infatti, l'individuazione di un parametro di riferimento mediante l'utilizzo di tecniche di telerilevamento da satellite da applicare nello “scaling up” ecologico, che a partire dallo studio dell'impatto dello stress idrico su singole specie potesse indagare sistemi di vegetazione sempre più grandi nell'ottica di sviluppare una visione olistica di grandi aree in relazione all'aridità ambientale. La specie vegetale che è stata scelta come potenziale biomonitor è Fraxinus ornus L. ossia l'orniello, che è stato selezionato in quanto trattasi di una specie vegetale che si distingue per la notevole capacità di resistenza a condizioni di stress idrico e proprio per questa sua capacità, è una specie diffusa in una grande varietà di ambienti. L'area di studio scelta è stata la provincia di Trieste ed in particolare l'area carsica. Questa zona, infatti, offre l'opportunità di eseguire significativi biomonitoraggi per valutazioni quantitative e qualitative sull'ambiente, in quanto presenta una elevata variabilità di substrati litologici, costituiti da rocce soggette a fenomeni di dissoluzione da parte delle acque meteoriche chimicamente aggressive (rocce carsificabili), a cui sono associati diversi tipi di circolazione idrica. La presenza di una fitta rete di fessure e fratture nei substrati geologici a tratti determina un forte drenaggio dell'acqua all'interno del suolo dovuto a percolamento della stessa verso gli strati più profondi. Nella zona del Carso triestino, sono state selezionate 21 stazioni in base ad un criterio geomorfologico noto come carsificabilità, che misura in modo indiretto e qualitativo la capacità di campo di un suolo, e in modo tale da ricoprire tutto il territorio dell'area carsica all'interno della provincia di Trieste. Al fine di identificare quale fosse il parametro fisiologico o morfologico che meglio si addicesse allo scopo della ricerca, sono stati misurati nel periodo da Maggio a Settembre i parametri relativi alle relazioni pianta-acqua generalmente correlati allo stress idrico e cioè la conduttanza fogliare al vapore d'acqua (gL), il potenziale dell'acqua della foglia (Ψfoglia) e la conduttanza idraulica della foglia (Kfoglia). Contestualmente, sono stati misurati anche i diametri dei vasi xilematici. Grazie all'analisi di questi parametri è stato possibile eseguire uno studio biofisico accurato del comportamento idraulico dell'orniello in condizioni di limitazione della disponibilità d'acqua. Da questi dati emerge che la conduttanza fogliare al vapore d'acqua (gL) è il parametro più affidabile a rappresentare l'indice di aridità ambientale, in quanto è risultato essere il più sensibile alle variazioni nella disponibilità d'acqua. Il tentativo di integrare i dati di campo relativi a gL con quelli ottenuti mediante elaborazione di immagini satellitari non ha portato ai risultati sperati. L'indice ottenuto da dati telerilevati è risultato poco promettente come indice di riferimento per la realizzazione di uno “scaling-up”, in quanto non è risultato essere in grado di rilevare condizioni di stress idrico in aree caratterizzate da forte drenaggio dell'acqua (aree ad alta carsificabilità). L'applicabilità delle tecniche di telerilevamento da satellite nel monitoraggio dell'aridità ambientale risulta quindi fortemente limitata dalla struttura geomorfologica del territorio oggetto di studio.
XX Ciclo
1973
Muche, Muluken Eyayu. "Surface water hydrologic modeling using remote sensing data for natural and disturbed lands." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32609.
Повний текст джерелаDepartment of Biological & Agricultural Engineering
Stacy L. Hutchinson
The Soil Conservation Service-Curve Number (SCS-CN) method is widely used to estimate direct runoff from rainfall events; however, the method does not account for the dynamic rainfall-runoff relationship. This study used back-calculated curve numbers (CNs) and Normalized Difference Vegetation Index (NDVI) to develop NDVI-based CNs (CN[subscript]NDV) using four small northeastern Kansas grassland watersheds with average areas of 1 km² and twelve years (2001–2012) of daily precipitation and runoff data. Analysis indicated that the CN[subscript]NDVI model improved runoff predictions compared to the SCS-CN method. The CN[subscript]NDVI also showed greater variability in CNs, especially during growing season, thereby increasing the model’s ability to estimate relatively accurate runoff from rainfall events since most rainfall occurs during the growing season. The CN[subscript]NDVI model was applied to small, disturbed grassland watersheds to assess the model’s ability to detect land cover change impact for military maneuver damage and large, diverse land use/cover watersheds to assess the impact of scaling up the model. CN[subscript]NDVI application was assessed using a paired watershed study at Fort Riley, Kansas. Paired watersheds were identified through k-means and hierarchical-agglomerative clustering techniques. At the large watershed scale, Daymet precipitation was used to estimate runoff, which was compared to direct runoff extracted from stream flow at gauging points for Chapman (grassland dominated) and Upper Delaware (agriculture dominated) watersheds. In large, diverse watersheds, CN[subscript]NDVI performed better in moderate and overall flow years. Overall, CN[subscript]NDVI more accurately simulated runoff compared to SCS-CN results: The calibrated model increased by 0.91 for every unit increase in observed flow (r = 0.83), while standard CN-based flow increased by 0.506 for every unit increase in observed flow (r = 0.404). Therefore, CN[subscript]NDVI could help identify land use/cover changes and disturbances and spatiotemporal changes in runoff at various scales. CN[subscript]NDVI could also be used to accurately estimate runoff from precipitation events in order to instigate more timely land management decisions.
Amazirh, Abdelhakim. "Monitoring crops water needs at high spatio-temporal resolution by synergy of optical/thermal and radar observations." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30101.
Повний текст джерелаOptimizing water management in agriculture is essential over semi-arid areas in order to preserve water resources which are already low and erratic due to human actions and climate change. This thesis aims to use the synergy of multispectral remote sensing observations (radar, optical and thermal data) for high spatio-temporal resolution monitoring of crops water needs. In this context, different approaches using various sensors (Landsat-7/8, Sentinel-1 and MODIS) have been developed to provide information on the crop Soil Moisture (SM) and water stress at a spatio-temporal scale relevant to irrigation management. This work fits well the REC "Root zone soil moisture Estimates at the daily and agricultural parcel scales for Crop irrigation management and water use impact: a multi-sensor remote sensing approach" (http://rec.isardsat.com/) project objectives, which aim to estimate the Root Zone Soil Moisture (RZSM) for optimizing the management of irrigation water. Innovative and promising approaches are set up to estimate evapotranspiration (ET), RZSM, land surface temperature (LST) and vegetation water stress through SM indices derived from multispectral observations with high spatio-temporal resolution. The proposed methodologies rely on image-based methods, radiative transfer modelling and water and energy balance modelling and are applied in a semi-arid climate region (central Morocco). In the frame of my PhD thesis, three axes have been investigated. In the first axis, a Landsat LST-derived RZSM index is used to estimate the ET over wheat parcels and bare soil. The ET modelling estimation is explored using a modified Penman-Monteith equation obtained by introducing a simple empirical relationship between surface resistance (rc) and a RZSM index. The later is estimated from Landsat-derived land surface temperature (LST) combined with the LST endmembers (in wet and dry conditions) simulated by a surface energy balance model driven by meteorological forcing and Landsat-derived fractional vegetation cover. The investigated method is calibrated and validated over two wheat parcels located in the same area near Marrakech City in Morocco. In the next axis, a method to retrieve near surface (0-5 cm) SM at high spatial and temporal resolution is developed from a synergy between radar (Sentinel-1) and thermal (Landsat) data and by using a soil energy balance model. The developed approach is validated over bare soil agricultural fields and gives an accurate estimates of near surface SM with a root mean square difference compared to in situ SM equal to 0.03 m3 m-3. In the final axis a new method is developed to disaggregate the 1 km resolution MODIS LST at 100 m resolution by integrating the near surface SM derived from Sentinel-1 radar data and the optical-vegetation index derived from Landsat observations. The new algorithm including the S-1 backscatter as input to the disaggregation, produces more stable and robust results during the selected year. Where, 3.35 °C and 0.75 were the lowest RMSE and the highest correlation coefficient assessed using the new algorithm
Elbag, Mark A. "Impact of surrounding land uses on surface water quality." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-050306-155834/.
Повний текст джерелаKeywords: Conductivity, pH, Dissolved Oxygen, UV absorbance, Source Water, Surface Water, Dissolved Organic Carbon, Total Organic Carbon, Particle Counts, Turbidity, E. coli, Fecal Coliforms, West Boylston Brook, Wachusett Reservoir, source water protection, surface water protection Includes bibliographical references (p.73-77).
Elbag, Jr Mark A. "Impact of Surrounding Land Uses on Surface Water Quality." Digital WPI, 2006. https://digitalcommons.wpi.edu/etd-theses/665.
Повний текст джерелаCheng, Chi Han. "Land use effects on energy and water balance-developing a land use adapted drought index." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5160.
Повний текст джерелаID: 031001561; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed August 26, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references.
Ph.D.
Doctorate
Civil, Environmental, and Construction Engineering
Engineering and Computer Science
Civil Engineering
Decker, Mark Ryan. "IMPROVING THE HYDROLOGICAL CYCLE IN LAND SURFACE CLIMATE MODELS." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195627.
Повний текст джерелаChingombe, Wisemen. "Effects of land-cover - land-use on water quality within the Kuils - Eerste River catchment." Thesis, University of Western Cape, 2012. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5893_1373463134.
Повний текст джерелаThe most significant human impacts on the hydrological system are due to land-use change. The conversion of land to agricultural, mining, industrial, or residential uses significantly alters the hydrological characteristics of the land surface and modifies pathways and rates of water flow. If this occurs over large or critical areas of a catchment, it can have significant short and long-term impacts, on the quality of water. While there are methods available to quantify the pollutants in surface water, methods of linking non-point source pollution to water quality at catchment scale are lacking. Therefore, the research presented in this thesis investigated modelling techniques to estimate the effect of land-cover type on water quality. The main goal of the study was to contribute towards improving the understanding of how different land-covers in an urbanizing catchment affect surface water quality. The aim of the research presented in this thesis was to explain how the quality of surface runoff varies on different land-cover types and to provide guidelines for minimizing water pollution that may be occurring in the Kuils-Eerste River catchment. The research objectives were
(1) to establish types and spatial distribution of land-cover types within the Kuils-Eerste River catchment, (2) to establish water quality characteristics of surface runoff from specific land-cover types at the experimental plot level, (3) to establish the contribution of each land-cover type to pollutant loads at the catchment scale. Land-cover characteristics and water quality were investigated using GIS and Remote Sensing tools. The application of these tools resulted in the development of a land-cover map with 36 land classifications covering the whole catchment. Land-cover in the catchment is predominantly agricultural with vineyards and grassland covering the northern section of the catchment. Vineyards occupy over 35% of the total area followed by fynbos (indigenous vegetation) (12.5 %), open hard rock area (5.8 %), riparian forest (5.2 %), mountain forest 
 
(5 %), dense scrub (4.4 %), and improved grassland (3.6 %). The residential area covers about 14 %. Roads cover 3.4 % of the total area. Surface runoff is responsible for the transportation of large quantities of pollutants that affect the quality of water in the Kuils-Eerste River catchment. The different land-cover types and the distribution and concentration levels of the pollutants are not uniform. Experimental work was conducted at plot scale to understand whether land-cover types differed in their contributions to the concentration of water quality attributes emerging from them. Four plots each with a length of 10 m to 12 m and 5 m width were set up. Plot I was set up on open grassland, Plot II represented the vineyards, Plot III covered the mountain forests, and Plot IV represented the fynbos land-cover. Soil samples analyzed from the experimental plots fell in the category of sandy soil (Sa) with the top layer of Plot IV (fynbos) having loamy sand (LmSa). The soil particle sizes range between fine sand (59.1 % and 78.9 %) to coarse sand (between 7 % and 22 %). The content of clay and silt was between 0.2 % and 2.4 %. Medium sand was between 10.7 % and 17.6 %. In terms of vertical distribution of the particle sizes, a general decrease with respect to the size of particles was noted from the top layer (15 cm) to the bottom layer (30 cm) for all categories of the particle sizes. There was variation in particle size with depth and location within the experimental plots.Two primary methods of collecting water samples were used
grab sampling and composite sampling. The quality of water as represented by the samples collected during storm events during the rainfall season of 2006 and 2007 was 
used to establish  
water quality characteristics for the different land-cover types. The concentration of total average suspended solids was highest in the following land-cover types, cemeteries (5.06 mg L-1), arterial roads/main roads (3.94 mg L-1), low density residential informal squatter camps (3.21 mg L-1) and medium density residential informal townships (3.21 mg L-1). Chloride concentrations were high on the following land-cover types, recreation grass/ golf course (2.61 mg L-1), open area/barren land (1.59 mg L-1), and improved grassland/vegetation crop (1.57 mg L-1). The event mean concentration (EMC) values for NO3-N were high on commercial mercantile (6 mg L-1) and water channel (5 mg L-1). The total phosphorus concentration mean values recorded high values on improved grassland/vegetation crop (3.78 mg L-1), medium density residential informal townships (3mgL-1) and low density residential informal squatter camps (3 mg L-1). Surface runoff may also contribute soil particles into rivers during rainfall events, particularly from areas of disturbed soil, for example areas where market gardening is taking place. The study found that different land cover types contributed differently to nonpoint source pollution. A GIS model was used to estimate the diffuse pollution of five pollutants (chloride, phosphorus, TSS, nitrogen and NO3-N) in response to land cover variation using water quality data. The GIS model linked land cover information to diffuse nutrient signatures in response to surface runoff using the Curve Number method and EMC data were developed. Two models (RINSPE and N-SPECT) were used to estimate nonpoint source pollution using various GIS databases. The outputs from the GIS-based model were compared with recommended water quality standards. It was found that the RINSPE model gave accurate results in cases where NPS pollution dominate the total pollutant inputs over a given land cover type. However, the N-SPECT model simulations were too uncertain in cases where there were large numbers of land cover types with diverse NPS pollution load. All land-cover types with concentration values above the recommended national water quality standard were considered as areas that needed measures to mitigate the adverse effects of nonpoint pollution. The expansion of urban areas and agricultural land has a direct effect on land cover types within the catchment. The land cover changes have adverse effect which has a potential to contribute to pollution.
De, Chiara Giovanna. "Satellite remote sensing for surface soil water content estimation." Doctoral thesis, Universita degli studi di Salerno, 2010. http://hdl.handle.net/10556/125.
Повний текст джерелаSatellite remote sensing is a useful source of observations of land surface hydrologic variables and processes and could be a practical substitution of conventional in-situ monitoring. Most of hydrological dynamic processes change not only throughout the years but also within weeks or months and their monitoring requires frequent observations. The most prominent advantage of the remote sensing technologies is that they offer a synoptic view of the dynamics and spatial distribution of phenomena and parameters, often difficult to monitor with traditional ground survey, with a frequent temporal coverage. Many of the variables in the land surface water balance can now be observed with satellite techniques thanks to an extensive development over the last decades. Often the problem connected to the use of remotely sensed data is their accuracy that, according to the sensor used and to the application considered, can ranges from moderate to excellent. The objective of this thesis has been to evaluate the use of satellite remote sensing techniques for the monitoring of two variables useful for hydrology applications: water body extension and soil moisture monitoring. The capability to map water surface is important in many hydrological applications, in particular accurate information on the extent of water boundary is essential for flood monitoring and water reservoir management. Often, this information is difficult to retrieve using traditional survey techniques because water boundaries can be fast moving as in floods or may be inaccessible. In this PhD thesis, an artificial basin for which in-situ information about the water extension are available is used as case study. The area extension recorded daily by the dam owner is compared to the one retrieved by using satellite images acquired from SAR and TM/ETM+ sensors. The outcomes of the analysis show that satellite images are able to map water body surfaces with a good accuracy. The analysis also highlighted the factor to be taken into account while using types of sensors. Soil moisture is recognized as a key variable in different hydrological and ecological processes as it controls the exchange of water and heat energy between land surface and the atmosphere. Despite the high spatial variability of this parameter it has been demonstrated that many satellite sensors are able to retrieve soil moisture information of the surface layer at catchment scale. Among other sensors, the Scatterometer is very useful for climatic studies and modelling analysis thanks, respectively, to the temporal frequency, global coverage and to the long time series availability. Even though the ERS Scatterometer has been designed to measure the wind over the ocean surface, in recent years it has been pointed out that backscattering measurements have high potentiality for soil moisture retrieval. The second task of this PhD thesis, concerning the use of satellite data for soil moisture monitoring, has been developed at Serco S.p.A. in the framework of the Advanced Scatterometer Processing System (ASPS) project developed by ESA (European Space Agency) to reprocess the entire ERS Scatterometer mission. Since the beginning of the ERS-1 Scatterometer mission in 1991 a long dataset of C-band backscattering signal from the Earth surface is available for studies and researches. This is a very consistent dataset, but in particular for climatology studies it is important to have high quality and homogeneous long term observation as also stated in the key guidelines included in the Global Climate Observing System (GCOS) from the World Meteorological Organization (WMO). The main goal of this task has been the generation of the new Scatterometer ASPS products with improved data quality and spatial resolution. This achievement required a long preparation activity but represents an important contribution to the C-band Scatterometer dataset available to the scientific community. In order to evaluate the usage of the re-processed Scatterometer data for soil moisture estimation, the backscattering measurements derived in the new ASPS products have been then compared to in-situ volumetric soil moisture data and the relationship between radar backscattering and soil moisture measurements has been investigated under different conditions: angle of incidence, angle of azimuth, data measurements resolution, season of the year. Analysis results show that a relationship between the C-band backscattering coefficient and the in-situ volumetric soil moisture exists and takes into account the incidence and azimuth angles and the vegetation cover. [edited by author]
VIII n. s.
Wang, Shusen. "Modelling water, carbon, and nitrogen dynamics in CLASS, Canadian Land Surface Scheme." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0008/NQ59692.pdf.
Повний текст джерелаКниги з теми "Land Surface Water Index"
Canada. Environment Canada. Inland Waters Directorate. Surface water data reference index: Canada. Ottawa: Environment Canada. Inland Waters Directorate, 1991.
Знайти повний текст джерелаSimon, Standing, and Wells Liz 1948-, eds. Surface: Land/water and the visual arts. Bristol, U.K: University of Plymouth Press, 2005.
Знайти повний текст джерелаEvoy, Barbara. Surface and groundwater management in surface mined-land reclamation. Sacramento, CA: Dept. of Conservation, Division of Mines and Geology, 1989.
Знайти повний текст джерелаEvoy, Barbara. Surface and groundwater management in surface mined-land reclamation. Sacramento, CA: Dept. of Conservation, Division of Mines and Geology, 1989.
Знайти повний текст джерелаC, Gandara S., Jones R. E, and Geological Survey (U.S.), eds. Index of stations: Surface-water data-collection network of Texas, September 1993. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Знайти повний текст джерелаC, Gandara S., Jones R. E, and Geological Survey (U.S.), eds. Index of stations: Surface-water data-collection network of Texas, September 1993. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Знайти повний текст джерелаGandara, S. C. Index of stations: Surface-water data-collection network of Texas, September 1998. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.
Знайти повний текст джерелаC, Gandara S., Jones R. E, and Geological Survey (U.S.), eds. Index of stations: Surface-water data-collection network of Texas, September 1993. Austin, Tex: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Знайти повний текст джерелаK, Ruby N., Geological Survey (U.S.), and Wyoming State Engineer's Office, eds. Index of surface-water discharge, water-quality, sediment, and biological records through September 30, 1990, for Wyoming. Cheyenne, Wyo: U.S. Geological Survey, 1991.
Знайти повний текст джерелаK, Ruby N., Geological Survey (U.S.), and Wyoming State Engineer's Office, eds. Index of surface-water discharge, water-quality, sediment, and biological records through September 30, 1990, for Wyoming. Cheyenne, Wyo: U.S. Geological Survey, 1991.
Знайти повний текст джерелаЧастини книг з теми "Land Surface Water Index"
Desjardins, R. L., and J. I. MacPherson. "Water Vapor Flux Measurements from Aircraft." In Land Surface Evaporation, 245–60. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3032-8_14.
Повний текст джерелаSchmugge, Thomas J., and F. Becker. "Remote Sensing Observations for the Monitoring of Land-Surface Fluxes and Water Budgets." In Land Surface Evaporation, 337–47. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3032-8_20.
Повний текст джерелаBonan, Gordon. "Processes Determining Land Surface Climate." In Handbook of Weather, Climate, and Water, 135–40. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471721603.ch11.
Повний текст джерелаTillman, James E. "In Situ Water Vapor Measurements in the Lyman-alpha and Infrared Spectrum: Theory and Components." In Land Surface Evaporation, 313–35. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3032-8_19.
Повний текст джерелаHall, Forrest G., and Yann H. Kerr. "Remote Sensing and Land-surface Experiments." In Vegetation, Water, Humans and the Climate, 207–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18948-7_19.
Повний текст джерелаLiang, Shunlin, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, and Xiang Zhao. "Leaf Area Index." In Global LAnd Surface Satellite (GLASS) Products, 3–31. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02588-9_2.
Повний текст джерелаSorooshian, Soroosh. "The Trials and Tribulations of Modeling and Measuring in Surface Water Hydrology." In Land Surface Processes in Hydrology, 19–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60567-3_2.
Повний текст джерелаDas, P., V. Pandey, and Dipanwita Dutta. "Land Surface Water Resource Monitoring and Climate Change." In Mapping, Monitoring, and Modeling Land and Water Resources, 311–26. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003181293-20.
Повний текст джерелаBastidas, Luis A., Hoshin V. Gupta, Kuo-lin Hsu, and Soroosh Sorooshian. "Parameter, structure, and model performance evaluation for land-surface schemes." In Water Science and Application, 229–37. Washington, D. C.: American Geophysical Union, 2003. http://dx.doi.org/10.1029/ws006p0229.
Повний текст джерелаMcIntyre, Neil, Fitsum Woldemeskel, Supattra Visessri, and Ashish Sharma. "Quantifying Surface Water Supplies under Changing Climate and Land Use." In Sustainable Water Resources Management, 337–73. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784414767.ch13.
Повний текст джерелаТези доповідей конференцій з теми "Land Surface Water Index"
Wang, Wen, Zhong-Zhong Zhang, Xiao-Gang Wang, and Hui-Min Wang. "Evaluation of using the modified water deficit index derived from MODIS vegetation index and land surface temperature products for monitoring drought." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6352253.
Повний текст джерелаCiezkowski, Wojciech, Jacek Jozwiak, Sylwia Szporak-Wasilewska, Piotr Dabrowski, Malgorzata Kleniewska, Maciej Goraj, and Jaroslaw Chormanski. "Water Stress Index for Bogs and Mires Based on UAV Land Surface Measuremnts and Its Dependency on Airborne Hyperespectral Data." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518184.
Повний текст джерелаGHERASIM, Paul Marian, Mihai DIMA, and Ioana AGAPIE (MEREUȚĂ). ""Studing LST and NDVI Values for Suhi Non-Suhi Occupied by Constructions and Buildings: a Case Study of Iasi. "." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_11.
Повний текст джерелаMAGYARI-SÁSKA, Zsolt, and Ștefan DOMBAY. ""Experimental Method to Assess the Looseness or Compactness in Climate Changing for Several Major Cities of Hungary."." In Air and Water – Components of the Environment 2022 Conference Proceedings. Casa Cărţii de Ştiinţă, 2022. http://dx.doi.org/10.24193/awc2022_12.
Повний текст джерелаAjtai, Iulia, Marius Oprea, Cristian Malos, Andrei Radovici, and Camelia Botezan. "THE VULNERABILITY ANALYSIS OF A MOUNTAIN RIVER ECOSYSTEM ASSOCIATED TO ANTHROPIC ACTIVITIES, IN A TOURISTIC AREA IN ROMANIA." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/3.1/s12.25.
Повний текст джерелаKoné, Alassane, Allyx Fontaine, and Samira El Yacoubi. "COUPLING CELLULAR AUTOMATA WITH MEDALUS ASSESSMENT FOR THE DESERTIFICATION ISSUE." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/vqgh6804.
Повний текст джерелаRamamurthy, Adinarayanane, and Anusha Roy. "Green and blue infrastucture to regulate thermal comfort in high density city planning. A case of Navi Mumbai, India." In 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/amfc5106.
Повний текст джерелаFerrer Pont, Esther, Blanca Botey Sánchez de Rojas, Francisco Cabrera Tosas, and Gisela Lorán Benavent. "Eines i indicadors per a la mesura del grau de sostenibilitat en la planificació territorial i urbanística." In International Conference Virtual City and Territory. Barcelona: Centre de Política de Sòl i Valoracions, 2009. http://dx.doi.org/10.5821/ctv.7538.
Повний текст джерелаRoy, S., D. Pujari, and M. Saraswat. "ASSESSMENT OF URBAN ECOSYSTEMS: A STRUCTURED APPROACH TOWARDS BUILDING RESILIENCE TO CLIMATE CHANGE IN INDIAN TOWNS AND CITIES." In The 5th International Conference on Climate Change 2021 – (ICCC 2021). The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/2513258x.2021.5103.
Повний текст джерелаToll, David L., Jared K. Entin, and Paul R. Houser. "Land surface heterogeneity on surface energy and water fluxes." In International Symposium on Remote Sensing, edited by Manfred Owe and Guido D'Urso. SPIE, 2002. http://dx.doi.org/10.1117/12.454209.
Повний текст джерелаЗвіти організацій з теми "Land Surface Water Index"
Research Institute (IFPRI), International Food Policy. Global Hunger Index The challenge of hunger: Ensuring sustainable food security under land, water, and energy stresses. Washington, DC: International Food Policy Research Institute, 2012. http://dx.doi.org/10.2499/9780896299429.
Повний текст джерелаRussell, H. A. J., and S. K. Frey. Canada One Water: integrated groundwater-surface-water-climate modelling for climate change adaptation. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329092.
Повний текст джерелаBloomsburg, G., J. Finnie, D. Horn, B. King, and J. Liou. Abstracts and parameter index database for reports pertaining to the unsaturated zone and surface water-ground water interactions at the Idaho National Engineering Laboratory. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10103992.
Повний текст джерелаLamb, Peter. "Workshop to Promote and Coordinate U.S.A. Contributions to AMMA on Land Surface, Water Cycle, Aerosol and Radiation Budget Issues". Office of Scientific and Technical Information (OSTI), May 2008. http://dx.doi.org/10.2172/957988.
Повний текст джерелаBroussard, Whitney, Glenn Suir, and Jenneke Visser. Unmanned Aircraft Systems (UAS) and satellite imagery collections in a coastal intermediate marsh to determine the land-water interface, vegetation types, and Normalized Difference Vegetation Index (NDVI) values. Engineer Research and Development Center (U.S.), October 2018. http://dx.doi.org/10.21079/11681/29517.
Повний текст джерелаBecker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42003.
Повний текст джерелаBitew, Menberu, and Rhett Jackson. Characterization of Flow Paths, Residence Time and Media Chemistry in Complex Landscapes to Integrate Surface, Groundwater and Stream Processes and Inform Models of Hydrologic and Water Quality Response to Land Use Activities; Savannah River Site. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1171150.
Повний текст джерелаRaymond, Kara, Laura Palacios, Cheryl McIntyre, and Evan Gwilliam. Status of climate and water resources at Saguaro National Park: Water year 2019. Edited by Alice Wondrak Biel. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2288717.
Повний текст джерелаNagabhatla, Nidhi, Panthea Pouramin, Rupal Brahmbhatt, Cameron Fioret, Talia Glickman, K. Bruce Newbold, and Vladimir Smakhtin. Migration and Water: A Global Overview. United Nations University Institute for Water, Environment and Health, May 2020. http://dx.doi.org/10.53328/lkzr3535.
Повний текст джерелаKirby, Stefan M., J. Lucy Jordan, Janae Wallace, Nathan Payne, and Christian Hardwick. Hydrogeology and Water Budget for Goshen Valley, Utah County, Utah. Utah Geological Survey, November 2022. http://dx.doi.org/10.34191/ss-171.
Повний текст джерела