Littérature scientifique sur le sujet « WAPOR DATABASE »

This paper analyses the effect of the spatial assessment scale on irrigation performance indicators in small and medium-scale agriculture. Three performance indicators—adequacy (i.e., sufficiency of water use to meet the crop water requirement), equity (i.e., fairness of irrigation distribution), and productivity (i.e., unit of physical crop production/yield per unit water consumption)—are evaluated in five irrigation schemes for three spatial resolutions—250 m, 100 m, and 30 m. Each scheme has varying plot sizes and distributions, with average plot sizes ranging from 0.2 ha to 13 ha. The datasets are derived from the United Nations Food and Agricultural Organization (FAO) water productivity through open access of remotely sensed–derived data (the Water Productivity Open Access Portal—WaPOR) database. Irrigation indicators performed differently in different aspects; for adequacy, all three resolutions show similar spatial trends for relative evapotranspiration (ET) across levels for all years. However, the estimation of relative ET is often higher at higher resolution. In terms of equity, all resolutions show similar inter-annual trends in the coefficient of variation (CV); higher resolutions usually have a higher CV of the annual evapotranspiration and interception (ETIa) while capturing more spatial variability. For productivity, higher resolutions show lower crop water productivity (CWP) due to higher aboveground biomass productivity (AGBP) estimations in lower resolutions; they always have a higher CV of CWP. We find all resolutions of 250 m, 100 m, and 30 m suitable for inter-annual and inter-scheme assessments regardless of plot size. While each resolution shows consistent temporal trends, the magnitude of the trend in both space and time is smoothed by the 100 m and 250 m resolution datasets. This frequently results in substantial differences in the irrigation performance assessment criteria for inter-plot comparisons; therefore, 250 m and 100 m are not recommended for inter-plot comparison for all plot sizes, particularly small plots (<2 ha). Our findings highlight the importance of selecting the spatial resolution appropriate to scheme characteristics when undertaking irrigation performance assessment using remote sensing.

Abstract The housed property’s market value is influenced by a set of characteristic qualities, among which is the technical condition of a building. The aim of this paper is to study the influence of the technical condition of a building on the market price of the dwelling units, depending, among others, on the chosen method and the approach to the assessment of the housing wear degree. The analysis has been performed based on the estimation of the market value of an illustrative dwelling unit located in a building erected with the use of prefabricated large panel technology in selected variants. The study is based on data from the period between January and December 2012, which are related to the sale of rights to dwelling units from the secondary market. The information was obtained from a transactional database based on the Partner Data Exchange system with the Walor software.

The aims of this study are calculating and analyze the seasonal and spatial variability of agricultural water productivity of wheat crop in AL-Gezira irrigation scheme in Sudan by using remote sensing derived datasets. The data used in this project were collected from WaPOR, an open access portal, and content a 30m spatial resolution 10 days interval (decadal data) of Actual evapotranspiration and interception (AETI) and Net primary production (NPP). Accordingly, the average seasonal AETI and NPP was compiled for the scheme during the period from (1/11/2017) to (1/4/2018) for the first season, (1/11/2018) to (1/4/2019) for the second season, (1/11/2019) to (1/4/2020) for the third season, (1/11/2020) to (1/4/2021) for the fourth season and (1/11/2021) to (1/4/2022) for the fifth season. The results of the AETI from the first to the fifth were as follows (553.69mm, 561.964mm, 570.88mm, 279.4mm and 278.32mm) respectively. And results of crop water productivity as follows (0.34 kg/𝑚3, 0.13 kg/𝑚3, 0.15 kg/𝑚3, 0.1 kg/𝑚3, and 0.1 kg/𝑚3) respectively. The highest water productivity was in the first season, while the lowest water productivity was in the fourth and fifth seasons. By comparing AETI and CWP, we can see that the third season is when water is wasted and water distribution isn't adequately handled. Through AETI spatial analysis, it was found that the northeastern part of the scheme suffers from a real problem in water distribution.