Land-use and land-cover (LULC) change is a primary driver of terrestrial carbon release, often through the conversion forest into agriculture or expansion urban areas. Classification schemes are key component landscape analyses. This study creates novel LULC classification scheme by incorporating ecological data to redefine classes an existing based on variation in above-ground tree carbon. A i...

Land Use and Land Cover (LULC) classification is vital for environmental and ecological applications. Sentinel-2 is a new generation land monitoring satellite with the advantages of novel spectral capabilities, wide coverage and fine spatial and temporal resolutions. The effects of different spatial resolution unification schemes and methods on LULC classification have been scarcely investigate...

This paper explores the relationship between remote sensing measurements of land surface temperature and biophysical/socioeconomic data by utilizing the association rule mining technique. The surfaces associated with urban uses typically radiate more heat as compared to its rural counterparts. There is a need to quantitatively analyze this contrast in temperature and the biophysical and social ...

The Heihe River Basin (HRB) is the second largest inland river basin in arid Northwest China. The expanding agricultural irrigation, growing industrialization, and increasing urban development in the middle reach have depleted much of the river flow to the lower reach, degrading the corresponding ecosystems. Since the enactment of the State Council of China's new HRB water allocation policy in ...

Improved and up-to-date land use/land cover (LULC) datasets are needed for intensively cropped regions such as the U.S. Central Great Plains, in order to support a variety of science and policy applications focused on understanding the role and response of the agricultural sector to environmental change issues. The Moderate Resolution Imaging Spectroradiometer (MODIS) holds considerable promise...

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 analyzes the characteristics of land use/land cover change in Jordan’s Irbid governorate, 1984–2018, and predicts future land use/land cover for 2030 and 2050 using a cellular automata-Markov model. The results inform planners and decision makers of past and current spatial dynamics of land use/land cover change and predicted urban expansion, for a better understanding and successful...

Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. Data fusion for remote sensing is becoming an important tool to improve classical approaches. In addition, soft computing techniques such as machine learning or evolutive computation are often applied to improve the final LULC classification. In this paper, a method based o...