Titlebook: Geospatial Technologies for Land and Water Resources Management; Ashish Pandey,V. M. Chowdary,V. P. Singh Book 2022 The Editor(s) (if appl

Enrage

Estimating Evapotranspiration in Relation to Land-Use Change Using Satellite Remote Sensing,ons. With the advancement of satellite remote sensing, ET estimation has gained tremendous attention. Satellite remote sensing-based methods can map spatially distributed ET over different land use and thus are helpful for inaccessible areas. In this chapter, a commonly used surface energy balance-b

错事

Application of Remote Sensing and GIS in Crop Yield Forecasting and Water Productivity,r making appropriate government policies. Statistical regression method using meteorological parameters is one of the most widely used crop yield forecasting methods. With the help of statistical regression, it is possible to forecast the sugarcane yield a few months before the harvest. But there is

Initiative

Performance Evaluation of SM2RAIN-ASCAT Rainfall Product Over an Agricultural Watershed of India,al-time or historical, has been quite challenging. In this regard, satellite-based precipitation estimates play an essential role in enhancing the present hydrologic prediction capability. They are available at a high spatiotemporal resolution with global coverage. In the present study, a satellite

承认

Curve Numbers Computation Using Observed Rainfall-Runoff Data and RS and GIS-Based NRCS-CN Method fion in ungauged watersheds for various hydrological applications because it requires very few parameters in comparison with other hydrological methods. Curve Number (CN) is one of the most sensitive parameters of the method because it accounts for most of the watershed runoff producing response char

Coma704

不容置疑

Spinal-Tap

Pander

担心

0921-092X ions in rain-fed areas using geospatial technologies are presented in this book..The book will be useful for academics, water practitioners, scientists, water managers, environmentalists, and administrat978-3-030-90481-4978-3-030-90479-1Series ISSN 0921-092X Series E-ISSN 1872-4663

frenzy