rs and gis
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AbstractAssessment of the geomorphometric parameters using Remote Sensing (RS) and Geographic Information System (GIS) tools forms an important part in routing the runoff and other hydrological processes. The current study uses a geospatial model based on geomorphometric parameters for the categorization of surface runoff and identification of the erosion-prone areas in the watershed of the Kuttiyadi River. The 4th order Kuttiyadi river is dominated by a dendritic to semi-dendritic drainage pattern in the subwatersheds. The linear aspect of the subwatersheds indicates towards the presence of permeable surface and subsurface materials with uniform lithology. The aerial and relief aspects of the subwatersheds shows fine drainage texture, gentle slopes, delayed peak flow, flatter hydrograph, and large concentration time which shows that subwatersheds are quite capable of managing flash floods during storm events. The estimated values of surface runoff (Q) and sediment production rate (SPR) are range from 2.13 to 32.88 km2-cm/km2 and 0.0004–0.017 Ha-m/100km2/year respectively and suggest that Subwatershed 1 (SW1) will generate more surface runoff and is prone to soil erosion followed by subwatershed 2 (SW2) in comparison to other subwatersheds. This paper aims to fill the knowledge gap regarding categorization of flow and erosion dynamics in a coastal river watershed. We believe that our work may work help in providing the crucial information for decision-makers and policymakers responsible for establishing suitable policies and sustainable land use practices for the watershed.

Abstract Remote sensing (RS) and Geographic information system (GIS) is widely applied in the world and gradually affirms its role in Vietnam in managing agricultural and forest resources. This application is highly effective, providing information timely for managers to make decisions and build development strategies. In this study, RS and GIS were integrated to assess suitability for key crop species in Dak Nong province including coffee, rubber, cashew, and durian based on their suitability to site conditions such as soil (soil type, soil texture, soil thickness), topography (elevation, slope) and climate (temperature, precipitation). Using the restrictive method and overlapping map layers of natural factors, classified into adaptive levels according to FAO (1976). Results show that most land areas in Dak Nong province have different levels of potential suitability for key crop species ranging from non-adaptive to lesst-adaptive and moderately adaptive. However, most suitable areas for key crops are only at low (accounting for a large proportion) and the average adaptation level. The findings from the study are the scientific information for managers to make decisions regarding the structure of major crops in the province.

Scientific evaluation of the land is essential in order to understand the suitability for agricultural and non-agricultural purposes and identification of capabilities and constraints of the land for various crops and their cultivation helps in appropriate and sustainable usage. In order to uplift the production, productivity as well as profitability from a farm land, the knowledge regarding various land resources and soil properties become pre-requisites. In this, direction, a land inventorization was carried out using RS and GIS techniques. The prime objective was to carry out land evaluation studies based on land based on land capability classification and suitability of lands for commonly cultivated crops in the region. Soil morphological features, physical, physico-chemical and fertility properties of the land were analysed and the results indicated that the soils are good in inherent properties even with the slight variation in the morphological and physicochemical properties. Land evaluation based on Land Capability Classification (LCC) revealed that, all the blocks fall under Class-IV with some of the limitations like, erosion, texture and low organic carbon content in soils. Suitability of land to the crops indicated that there are limitations with respect to erosion, slope and soil fertility. Based on the obtained results, corrective measures were suggested for all the blocks to reduce the erosion losses improve the soil properties for higher productivity of the cultivated crops. The study concludes that variation in soils in all blocks is due to the close relationship between soils, physiography and climate which are interrelated.

Abstract Land use is the main essential resource of the total ecological system.. Analysing LULCC is important for a vast range of applications such as landslide, land planning etc. In this study, LULCC have been considered for a period of 20 years (2000-2021) using RS and GIS based analysis of Shimla, Himachal Pradesh, India. Supervised classification technique is used to analyse LANDSAT images from the year 2000 to 2021. The output is identified and changes in land use pattern was obtained for each successive imagery and final changes were obtain by comparing 2000 and 2021 usgs data. The result obtained indicate a major change in the growth. Thickly vegetated land reduced from 95.52% to 20.22% in the year 2021 whereas the Moderately Vegetated land reduced from 60.25% to 10.50%. In the year 2021, The Urban Land increased from 75.65% to 180.50% while the agricultural land is also increased from 70.63% to 190.25%. Barren Land also gets increased from 65.25% to 150.23%.

    There are many events that took place in Al Mosul province between 2013 and 2018. These events led to many changes in the area under study. These changes involved a decrease in agricultural crops and water due to the population leaving the area. Therefore, it is imperative that planners, decision-makers, and development officials intervene in order to restore the region's activity in terms of environment and agriculture. The aim of this research is to use remote sensing (RS) technique and geographic information system (GIS) to detect the change that occurred in the mentioned period. This was achieved through the use of the ArcGIS software package for the purpose of assessing the state of lands of agricultural crops and forests. Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) were adopted in the current calculations. This can help the decision-maker take the necessary measures to avoid the problems caused by the emergency events. The results obtained through this research showed that the region had rate changes in farms, water, and forests of about 1%, as it was found that there was a decrease in the level of the Tigris River and an increase in the area of ​​ carrot crop farms. Also, the results indicated a decrease in areas of agricultural crops in specific regions, while they increased in others.