Deforestation is extreme in tropical and subtropical regions emerging economies. In Ethiopia, the rate of forest degradation has accelerated recent years as a result rising demand for agriculture, fuel wood, charcoal, along with population growth. Excessive destructive resource exploitation currently danger at Dati Wolel National Park. The overall objective this study was to analyze determinant...

A key to the continuation of quantitative data from the Landsat series of sensors is the radiometric understanding of the sensor. Vicarious calibration methods are one approach that has been used successfully for the absolute radiometric calibration of Thematic Mapper (TM). One of these vicarious methods is the reflectance-based approach that is applied here to the radiometric calibration of th...

This paper presents the use of multitemporal remote sensing data for monitoring land cover changes in Acre State, Brazilian Amazônia. The 2000 Landsat ETM+, the 1990 Landsat TM, and 1980 Landsat MSS were used. The 2005 and 2007 MODIS images were also used to map deforestation occurred during the recent years and to map burned areas occurred in the 2005 dry year. The Landsat and MODIS images wer...

The objective of this project is to apply some optical data, an object oriented classification approach for monitoring and detecting the changes land cover in north Cote dIvoire where cashew spreading. Two Landsat images TM (1986)/ETM+ (2002) a Sentinel-2 (2022) are used research. method achieved through from object-oriented based on fuzzy logic. For specific methodological approach, we resort ...

Secchi disk depth (ZSD) is used to quantify water clarity as an important water-quality parameter, and one of the most mechanistic models for ZSD quasi-analytical algorithm (QAA), which latest version QAA_v6. There are two in QAA clear turbid waters (referred QAA_clear QAA_turbid). QAA_v6 switches between by setting a threshold value remote sensing reflectance (Rrs, sr−1) at selected reference ...

The major aim of processing satellite images is to prepare topical and effectivemaps. The selection of appropriate classification methods plays an important role. Amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. In present study, TM images of 1987, and ETM+ images of 2000 and 2006were analyzed using artificial fuzzy ARTMAP neural netwo...

Urban built-up area information is required by various applications. However, urban built-up area extraction using moderate resolution satellite data, such as Landsat series data, is still a challenging task due to significant intra-urban heterogeneity and spectral confusion with other land cover types. In this paper, a new method that combines spectral information and multivariate texture is p...