2004
DOI: 10.1016/s0140-1963(03)00060-0
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Watershed assessment along a segment of the Rio Conchos in Northern Mexico using satellite images

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Cited by 7 publications
(3 citation statements)
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“…Whereas a number of research projects have been carried out at the national level, there are relatively few examples of consistent and frequent remote sensing analysis of land‐cover patterns along the US–Mexico border (Gutierrez et al 2004). Remote sensing of the US–Mexico border was, however, the focus of the November 1998 issue of the journal Photogrammetric Engineering and Remote Sensing .…”
Section: Chihuahua's Forest Resourcesmentioning
confidence: 99%
“…Whereas a number of research projects have been carried out at the national level, there are relatively few examples of consistent and frequent remote sensing analysis of land‐cover patterns along the US–Mexico border (Gutierrez et al 2004). Remote sensing of the US–Mexico border was, however, the focus of the November 1998 issue of the journal Photogrammetric Engineering and Remote Sensing .…”
Section: Chihuahua's Forest Resourcesmentioning
confidence: 99%
“…[28,29]; (2) the results of human activities that influence the riparian change [30,31]; (3) the analyses of interaction relationship among riparian vegetation, land use, water body and ecological elements etc. [32,33]; (4) the studies on the limitation and special demands in mapping the riverine landscapes [34][35][36][37][38] determining the optimal width and the validity of riparian vegetation buffer zones [39,40,36,41].…”
Section: Introductionmentioning
confidence: 99%
“…LANDSAT data are widely used in many landcover studies (i.e. Muller, 1997;Narumalani et al, 1997;Scott et al, 2000;Nagler et al, 2001;Apan et al, 2002;Congalton et al, 2002;Zhao et al, 2003;Gutié rrez et al, 2004;Miltner et al, 2004;Shupe and Marsh, 2004;Ingram et al, 2005;Muukkonen and Heiskanen, 2005;Sivanpillai et al, 2005;Yang, 2007). We chose the LANDSAT images for the derivation of vegetation indices in this study due to the many advantages including the availability, the consistency, the accuracy, the spatial and temporal resolutions, and the ability of manipulate of the data.…”
Section: Introductionmentioning
confidence: 99%