Titlebook: Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management; Vijay P. Singh,Shalini Yadav,Ram Narayan Y

MURKY

混合物

Geospatial Big Earth Data and Urban Data Analytics,nables us to gain insight into urban processes and answers to new and complex questions related to cities and urban areas. Based on above discussions, aims of this chapter are to provide insights on the recent trends and approaches in Geospatial Big Earth Data sources, uses, and their integration wi

Ordnance

A Comparative Analysis of Spatiotemporal Drought Events from Remote Sensing and Standardized Precipons of meteorological stress and vegetation water stress. All this is analyzed considering the conditions along the phenological cycle. The implementation of the spatiotemporal drought methodology proposed by Corzo and Vitali, 2018, and its results used as input time series, through LOWESS smoothing

ELUDE

SPER

Soil Erosion Modeling Using Remote Sensing and GIS, the RUSLE and MMF models was 20.42 and 26.29 tons/ha/year, respectively. The coefficient of determination for sediment yield using the RUSLE and MMF models was 0.80 and 0.75, with a variation of 13.41% and 21.62%, respectively. Further, the total catchment area was categorized into the different er

開玩笑

蒙太奇

Insensate

Remote Sensing-Based Estimation of Shallow Inland Lake Morphometry: A Case Study of Sambhar Salt Lant to process and analyze morphometric metrics. To perform this analysis, spatiotemporal Landsat Multispectral Scanner System (MSS) and Operational Land Imager (OLI) Imagery have been used. These satellite images have been atmospherically corrected using Improved Dark Subtraction (IDOS) method, and

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