Greenhouse gas (GHG) emissions resulting from the Land Use, Land-Use Change, and Forestry sector (LULUCF) are estimated and reported in National Communications to the United Nations Framework Convention on Climate Change (UNFCCC). By definition, the LULUCF sector is a “greenhouse gas (GHG) inventory sector that covers emissions and removals of greenhouse gases resulting from direct human-induce...

Intraurban land-use change and factors affecting it are critical subjects in land-use planning. If unplanned, such changes can reduce the quality of life and spatial justice and ultimately lead to urban unsustainability. This paper aims to identify factors influencing unsustainable land-use change and analyze the intensity of such changes based on those factors. The artificial neural network an...

the growing population and increasing socio-economic necessitiescreates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) i...

Land surface temperature (LST) and land albedo (LSA) are the two key regional global climate-controlling parameters; assessing their behavior would likely result in a better understanding of appropriate adaptation strategies to mitigate consequences climate change. This study was conducted explore spatiotemporal variability LST LSA across different use/cover (LULC) classes northwest Iran. To do...

Analysis of hyperspectral data for defining the land-cover classes through classification techniques, in particular for small patches and scattered land-covers, is not a trivial task. Factors such as high spatial variability of landcover signatures, the “boundary effect” between neighboring land-covers, and the curse of dimensionality make this task more challenging [1]. As the integrity of a l...

road network (rn) can affect patterns and distribution of land uses and covers. road network expansion has both direct and indirect impacts on land uses and covers changes. agricultural land conversions (alcs) are especially known as one of the main important types of land use changes. the purpose of this paper, in addition to estimation of the direct impact of rn expansion on alcs, is to evalu...

We performed a multi-date composite change detection technique using a dense-time stack of Landsat data to map land-use and land-cover change (LCLUC) in Mainland Southeast Asia (MSEA) with a focus on the expansion of boom crops, primarily tree crops. The supervised classification was performed using Support Vector Machines (SVM), which are supervised non-parametric statistical learning techniqu...