Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment

Abstract

Soil erosion is a serious environmental problem in Indravati catchment. It carries the highest amount of sediments compared with other catchments in India. This catchment spreading an area of 41,285 km 2 is drained by river Indravati, which is one of the northern tributaries of the river Godavari in its lower reach. In the present study, USLE is used to estimate potential soil erosion from river Indravati catchment. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined. The derived soil loss map from USLE model is classified into six categories ranging from slight to very severe risk depending on the calculated soil erosion amount. The soil erosion map is linked to elevation and slope maps to identify the area for conservation practice in order to reduce the soil loss. From the model output predictions, it is found that average erosion rate predicted is 18.00 tons/ha/year and sediment yield at the out let of the catchment is 22.30 Million tons per annum. The predicted sediment yield verified with the observed data.

Spatial Suitability Evaluation of an Arid City Based on the Perspective of Major Function Oriented Zoning: A Case Study of Urumqi City in Xinjiang, China

“…With the wide application of GIS technology and RS data in spatial analyses, their use has been gradually increasing for spatial suitability evaluations based on overlay analysis [28]. In particular, the scholars are more interested in ecological suitability evaluation that gradually develop from a single-factor assessment such as water security [29], biodiversity conservation [30], and soil erosion protection [31] to multifactor comprehensive evaluation, such as the landscape evaluation model [32], ecological vulnerability evaluation [33], ecological importance evaluation [34], ecological function analysis [35], and multicriteria land suitability evaluation based on GIS [36]. These changes can better reflect the inter-relationship between urban land expansion and ecological protection.…”

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

“…As monitoring soil management and conservational practices are difficult to achieve via satellite imaging, since they represent a small portion of the basin, this variable was considered to be 1. It must be highlighted that this same thought was used in various works, such as those of Pradhan et al (2012), Vemu andPinnamaneni (2011), Silva, Montenegro andSantos (2012), Oliveira et al (2014) and Durães, Mello and Beskow (2016). The values of C used in this study were obtained from the literature presented in Table 4.…”

Impact of different types of meteorological data inputs on predicted hydrological and erosive responses to projected land use changes

“…It is characterised by a tropical monsoon climate, with high seasonal variability in precipitation and temperature. The average annual precipitation is about 1288 mm in the Indravati basin (Vemu and Pinnamaneni 2011). Most of the rainfall occurs between late June and October due to the southwest monsoon.…”