Landscape change in and around protected areas is of concern worldwide given the potential impacts of such change on biodiversity. Given such impacts, we sought to understand the extent of changes in different land-cover types at two protected areas, Tarangire and Katavi National Parks in Tanzania, over the past 27 years. Using Maximum Likelihood classification procedures we derived eight land-...

The change detection analysis has been investigated between 1990, 2015 and 2020 using Remote Sensing Geographical Information Systems in Yenagoa, Bayelsa State of Nigeria. With the aid ArcGIS Erdas Imagine software to classify environment, supervise classification method categories water bodies, built-up areas, bare land, vegetation, it was revealed that area covered by bodies 11% total decreas...

There are a number of challenges in applying high-spatial resolution satellite image data for analysis of larger urban areas. This paper explores the use of object-oriented image analysis approaches in mapping urban land cover and land use. The study is based on seven IKONOS images covering the Santa Barbara, CA region. Image processing included geometric and atmospheric correction and image se...

Over the past four decades, land use/land cover (LU/LC) change, coupled with persistent drought, has resulted in the decline of groundwater levels in Horqin Sandy Land. Accordingly, this study quantifies changes in LU/LC and groundwater storage (GWS). Furthermore, it investigates the effects of LU/LC changes on GWS. GWS changes are estimated using Gravity Recovery and Climate Experiment (GRACE)...

Gravely calcareous soils cover approximately most of arid lands (in percent); however, the solute transport behavior in these soils remains a current issue. This research aimed at estimating and correlating the solute transport parameters in gravely calcareous soils as being affected by different land uses through the knowledge of the soil morphological, physical, and chemical properties. Four ...

The spatial distribution of landslides is influenced by different climatic conditions and environmental settings including topography, morphology, hydrology, lithology, and land use. In this work, we have attempted to evaluate the influence of land use change on landslide susceptibility (LS) for a small study area located in the southern part of the Briga catchment, along the Ionian coast of Si...

An artificial neural network is a system based on the operation of biological neural networks, in other words, is an emulation of biological neural system. Artificial Neural Networks or simply Neural Networks are powerful general purpose computing tools. They have become popular in the analysis of remotely sensed data, particularly in classification or feature extraction from image data more ac...

The main objective of this study is to find out the importance of machine vision approach for the classification of five types of land cover data such as bare land, desert rangeland, green pasture, fertile cultivated land, and Sutlej river land. A novel spectra-statistical framework is designed to classify the subjective land cover data types accurately. Multispectral data of these land covers ...

A set of land-cover pattern maps for the Gunma Prefecture was produced to help understand and assess the ecological implications of regional spatial patterns. Covering a total area of approximately 6,360 square kilometers, about 77 percent of this area can be regarded as “vegetation cover”. The land cover map was derived from the supervised classification process with the combined use of TM, SP...

Thrips (Order: Thysanoptera; Family: Thripidae) are insects that suck epidermal lymph after biting and are endowered with raspingsucking mouthparts. They live in huge niches and include phytophagous, fungivorous and predacious species. Thrips are often overlooked as they are small in size, move rapidly and are light in colour. However, thrips may become a nuisance when they swarm and land on ex...