Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management Scale
| Autor: | Tatiana Ortega, Alfonso Calera, Mario Belmonte, Irene Arellano, José González-Piqueras, Lorena Fraile, Raquel Bravo, Jesús Garrido-Rubio |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Landsat 8
Irrigation Resource (biology) 010504 meteorology & atmospheric sciences Science 0208 environmental biotechnology Drainage basin Accounting 02 engineering and technology HidroMORE FAO56 01 natural sciences irrigation River basin management plans 0105 earth and related environmental sciences Remote sensing Remote Sensing-based Irrigation Water Accounting (RS-IWA) geography geography.geographical_feature_category business.industry 020801 environmental engineering Crop coefficient Water Framework Directive Remote sensing (archaeology) Sentinel-2 River Basin District water resource management General Earth and Planetary Sciences Environmental science business Groundwater |
| Zdroj: | Remote Sensing, Vol 12, Iss 3187, p 3187 (2020) Remote Sensing; Volume 12; Issue 19; Pages: 3187 |
| ISSN: | 2072-4292 |
| Popis: | The Water Framework Directive in Europe requires extending metering and water abstraction controls to accurately satisfy the necessary water resource requirements. However, in situ measurement instruments are inappropriate for large irrigation surface areas, considering the high investment and maintenance service costs. In this study, Remote Sensing-based Irrigation Water Accounting (RS-IWA) (previously evaluated for commercial plots, water user associations, and groundwater water management scales) was applied to over 11 Spanish river basin districts during the period of 2014–2018. Using the FAO56 methodology and incorporating remote sensing basal crop coefficient time series to simulate the Remote Sensing-based Soil Water Balance (RS-SWB), we were able to provide spatially and temporally distributed net irrigation requirements. The results were evaluated against the irrigation water demands estimated by the Hydrological Planning Offices and published in the River Basin Management Plans applying the same spatial (Agricultural Demand Units and Exploitation Systems) and temporal (annual and monthly) water management scales used by these public water managers, ultimately returning ranges of agreement (r2 and dr) (Willmott refined index) of 0.79 and 0.99, respectively. Thus, this paper presents an operational tool for providing updated spatio-temporal maps of RS-IWA over large and diverse irrigation surface areas, which is ready to serve as a complementary irrigation water monitoring and management tool. |
| Databáze: | OpenAIRE |
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