BACKGROUND & OBJECTIVES Malaria is a serious disease which has repeatedly threatened Andaman, an island territory of India. Uncharted dense vegetation and inaccessibility are the salient features of the area and the major areas are covered by remotely sensed data to identify the malaria vector's natural habitat. The present investigation appraises the role of geospatial technologies in identify...

in response to the demand for soil spatial information, the acquisition of digital auxiliary data and their matching with field soil observations is on the increase. with the harmonization of these data sets, through computer based methods, the so-called digital soil maps are increasingly being found to be as reliable as the traditional soil mapping practices, and with no prohibitive costs. the...

ABSTRACT- One of the big problems today human societies are faced with is the problem of soil erosion. In this study, the "MPSIAC model" was used to estimate sediment yield and provide sediment yield map in Cachoyeh watershed. The MPSIAC method incorporates nine environmental factors that contribute to sediment yield of the watershed. These factors are: surface geology, soil, climate, runoff, t...

Predictive modeling of habitat distribution of range plant species and identification of their potential habitats play important roles in the restoration of disturbed rangelands. This study aimed to predict the geographical distribution of Artemisia sieberi and find the influential variables in the distribution of A. sieberi in the desert rangelands of central Iran. Maps of environmental variab...

Points:  On-the-go soil sensors are able to map soil texture, organic matter, and pH, along with topography  A multi-sensor system effectively mapped a set of 10 fields across 6 states, delineating variability not detected by USDA soil surveys  A proprietary fuzzy logic system that classifies productivity zones was able to estimate productivity differences  Detailed quantitative soil maps a...

The greatest obstacle to soil erosion modelling at larger spatial scales is the lack of data on soil characteristics. One key parameter for modelling soil erosion is the soil erodibility, expressed as the K-factor in the widely used soil erosion model, the Universal Soil Loss Equation (USLE) and its revised version (RUSLE). The K-factor, which expresses the susceptibility of a soil to erode, is...

One of the major components of precision agriculture is the precision fertilization. The basic principle of precision fertilization is to adjust the fertilizer input according to the specific circumstances or properties of soils in each location for the least waste and the highest profit. The paper presents a feasible approach for developing the spatial distribution map of soil nutrients based ...

[1] Understanding climate, vegetation, and soil controls on recharge is essential for estimating potential impacts of climate variability and land use/land cover change on recharge. Recharge controls were evaluated by simulating drainage in 5-m-thick profiles using a one-dimensional (1-D) unsaturated flow code (UNSAT-H), climate data, and vegetation and soil coverages from online sources. Soil ...

Vegetative buffers may function better for filtering agricultural runoff in some locations than in others because of intrinsic characteristics of the land on which they are placed. The objective of this study was to develop a method based on soil survey attributes that can be used to compare soil map units for how effectively a buffer installed in them could remove pollutants from crop field ru...