An analysis of the ecosystem health in aquatic habitats using quantitative remote sensing, with a focus on China's Heihe River Basin
Abstract
To explain (1) how hydrological processes affect the distribution and structure of biological systems, and (2) how biological systems influence the water cycle," as stated by ecohydrologists, is the primary "goal of ecohydrology" (Baird and Wilby, 1999; Rodriguez-Iturbe, 2000; Bonell, 2002; Eagleson, 2002; Kundzewicz, 2002; Nuttle, 2002; Zalewski, 2002; Bond, 2003; Hunt and Wilcox, 2003; Newman et al., 2003; Van Dijk, 2004; Hannach" et al., 2004; Breshears, 2005). Ecohydrology is the study of hydrology's ecological impacts. " Gaining a better understanding of and a way to quantify the relationship between plants and water is one of the first steps in developing an ecohydrological approach to water resource management. Managing watersheds in arid regions continues to attract attention. of dwindling water supplies (Hibbert 1983). If accurate correlations can be established between groundwater recharge, runoff, hydraulic variables, and vegetation change, these operations can be used as water demand proxies (Walvoord and Phillips, 2004; Kwicklis et al., 2005). Vegetation is known to play an important role in the dynamics of groundwater recharge and outflow in arid regions, which has been studied using remote sensing techniques (Cayrol et al., 2000; Kerkhoff et al., 2004b). Rather than surface and subsurface sampling and analysis, vegetation mapping can be used to predict surface flow and groundwater recharge. Predicting the vegetation's response to changes in water input, as well as its impact on water fluxes, requires ecohydrological approaches and models that use remote sensing. technology and stowing away Improving satellite remote sensing capabilities may allow us to learn more about how vegetation responds to changes in hydrological processes. Understanding ecohydrological processes necessitates the integration of remote sensing techniques with hydrology.
Keywords
Groundwater Recharge, Remote Sensing Methods
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Copyright (c) 2024 XU HONGMEI, DR MOHAMMED SALEH NUSARI DR MOHAMMED SALEH NUSARI, DR HJ ARAZI BIN IDRUS (Author)
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