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This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters ...
The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI. Phen...
This paper presents a methodology through utilizing remote sensing imagery, GIS-based neuro-fuzzy approach and variety of social and environmental factors for simulating land use change. Two historica...
Wetlands are resources of paramount importance with many values and functions. However, with the economy development and the population growth, wetlands have undergone great changes. This study invest...
In this research, first a spectral analysis was performed on the ASTER and ETM Landsat Imagery data of Muteh gold mining area, located in central part of Iran, to map hydrothermal alteration associate...
Orthorectified and geodetically accurate global land data set of Landsat Multispectral Scanner, Thematic Mapper and Enhanced Thematic Mapper data, from the 1970s, circa 1990 and circa 2000, respecti...
The tropical forest is depleting at a fast rate due to deforestation and degradation. Illegal logging was reported to be the cause of 50% of the deforestation. Illegal logging is a very pressing iss...
From the beginning of the 80’s, the PETROBRáS, Brazilian petroleum company, started the hydrocarbonets economic exploration in Urucu (AM), in the West Amazon region. This paper presents multitemporal...
In recent years satellite knowledge and technology of remote sensing have had many improvements. Using of satellite imagery is developing in different land studies every day. Earth resources technol...
A study was conducted in two selected areas of the Brazilian cerrado using Landsat imagery during a five years period (1996-2000), to address the following estimation issues: (1) burnt area using sta...
In this study, land cover types in Zonguldak test area were analysed on the basis of the classification results acquired using the pixelbased and object-oriented image analysis approaches. Landsat-7 ...
This study describes the parcel-based classification of agricultural crops using multi-date Landsat 7 ETM+ images acquired in May, July, and August 2000. The study area is located in North-West of Tu...
Information about current land-cover in forests is important for management and conservation of these areas. Up to the last decade traditional per pixel classification algorithms were used to be util...
An empirical model based on high resolution spatial and temporal remotely sensed data offers the ability to assess the degradation impacts of changes in land cover in a spatial context. In an attempt...
To fully grasp the nature and human geography situation information, solve the problem of ecological environment, economic and social development of the country, monitoring the state of geographic c...

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