Landsat MSS and ETM+ images were analyzed to detect 25-year land-cover change (1976–2001) in the critical Taguibo Watershed in Mindanao Island, Southern Philippines. This watershed has experienced historical modifications of its land-cover due to the presence of logging industries in the 1950s, and continuous deforestation due to illegal logging and slash-and-burn agriculture in the present tim...

The western Nyainqentanglha Range is located in the south-eastern centre of the Tibetan Plateau. Its northwestern slopes drain into Lake Nam Co. The region is of special interest for glacio-climatological research as it is influenced by both the continental climate of Central Asia and the Indian Monsoon system, and situated at the transition zone between temperate and subcontinental glaciers. A...

We analyzed Landsat MSS and ETM+ images to detect 25-year land-cover change (1976-2001) in the critical Taguibo Watershed in Mindanao Island, Southern Philippines. This watershed has experienced historical modifications of its land-cover due to the presence of logging industries in the 1960s, and continuous deforestation due to illegal logging and slash-and-burn agriculture in the present time....

The Marshall Smith Syndrome (MSS) is a rare congenital disorder, displaying a constellation of unique symptoms, including orofacial dysmorphisms, accelerated osseous maturation and dysplasias, mental retardation, and respiratory maladies. Few individuals with MSS survive past early childhood. In this case report, we describe a unique treatment for a 30 year-old patient with MSS who presented to...

This paper reviews the development of in-orbit radiometric calibration methods in the past 40 years. It summarizes the development of in-orbit radiometric calibration technology of typical satellite sensors in the visible/near-infrared bands and the thermal infrared band. Focuses on the visible/near-infrared bands radiometric calibration method including: Lamp calibration and solar radiationbas...

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In order to fully utilize remote sensing to inventory crop production, it is important to identify the factors that affect the accuracy of Landsat classifications. The objective of this study was to investigate the effect of scene characteristics involving crop, soil, and weather variables on the accuracy of Landsat classifications of corn and soybeans. Segments sampling the U.S. Corn Belt were...