given the critical role played by urban green spaces and the emergence of remote sensing as avaluable natural resource management tool, this study sought to identify trends in green spaces within thecontext of south africa’s transition period (1990 - 2000). using the city of port elizabeth as a case study, threesets of landsat - 5 thematic mapper images (1990, 1995 and 2000) were geo-processed,...

the present study aims to simulate the spatial pattern of land use change in lisar protected area,iran. land cover maps for 1989, 2000, and 2007 were depicted using tm, etm+, and irs liss-iii images ofthe area at stake. images were classified using a merge of unsupervised and supervised classification. camarkov model was used to predict land cover maps as a top-down approach in investigating la...

this study was conducted to determine soil properties that correlate with the arbuscular mycorrhizal fungal (amf) spore numbers in semiarid calcareous soils of hamadan province in northwestern of iran. soil samples from six sites managed differently were collected from a 0 to 30 cm depth. the results showed that land use and management systems had a significant effect on amf spore number in soi...

this study was done to investigation forest cover changes in the mazandaran province in topographic zones. for doing that in the first matched topographic zones and land-use map. after that distribution of forest cover was investigated in plain, lowland, middle land and high land. forest cover changes analyzed in a period of 132 years since the beginning of the destructive activities in the for...

Change in land cover is thought to be one of the key drivers of pollinator declines, and yet there is a dearth of studies exploring the relationships between historical changes in land cover and shifts in pollinator communities. Here, we explore, for the first time, land cover changes in England over more than 80 years, and relate them to concurrent shifts in bee and wasp species richness and c...

Urban land cover classification using remote sensing data is quite challenging due to spectrally and spatially complex urban features. The present study describes the potential use of hyperspectral data for urban land cover classification and its comparison with multispectral data. EO-1 Hyperion data of October 05, 2012 covering parts of Bengaluru city was analyzed for land cover classification...

Landsat Thematic Mapper (TM) data have been extensively used for land cover classification, but Terra ASTER and SPOT High Resolution Geometric (HRG) data applications are just beginning. This paper compares the capabilities of TM, ASTER, and HRG in land cover classification in the Amazon basin. Maximum likelihood classification was used for selected multi-sensor image classification. This resea...

We use a linear unmixing approach to test how land use and forestry maps, in combination with the MODIS BRDF/albedo product, can be used to estimate land cover type albedos in boreal regions. Operational land use maps from three test areas in Finland and Canada were used to test the method. The resulting endmember albedo estimates had low standard errors of the mean and were realistic for the m...

Deforestation due to ever-increasing activities of the growing human population has been an issue of major concern for the global environment. It has been especially serious in the last several decades in the developing countries. A population-deforestation model has been developed by the authors to relate the population density with the cumulative forest loss, which is defined and computed as ...

given the critical role played by urban green spaces and the emergence of remote sensing as avaluable natural resource management tool, this study sought to identify trends in green spaces within thecontext of south africa’s transition period (1990 - 2000). using the city of port elizabeth as a case study, threesets of landsat - 5 thematic mapper images (1990, 1995 and 2000) were geo-processed,...