id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_mx7r2tufzngapbdl7ouvohlj6m	Charles M. Schweik	The Use of Spectral Mixture Analysis to Study Human Incentives, Actions, and Environmental Outcomes	1999	24	.pdf	application/pdf	13240	1447	60	(pixel) values represent surface reflectance and then applying a relatively new remotesensing analysis technique called spectral mixture analysis (SMA), the policy analyst or Furthermore, SMA provides the ability to identify subpixel measures such as the percentage of land-cover components (e.g., soil, vegetation, water) that make up a pixel. Second, by radiometrically calibrating images to surface reflectance values and applying SMA, the analyst can develop land-cover classification schemes that are As the previous discussion indicates, there are ample reasons to consider the use of Landsat MSS and TM for studies relating human decision making and action to land-cover human dimensions of environmental change studies use image classification as their dominant image-analysis method (to name a few: Brondizio, Moran, Mausel, & Wu, 1994; Lee & Fourth, endmember fraction images are more appropriate for analysis of physical landscapes exhibiting a high degree of continuously varying land cover, such as most forested	./cache/work_mx7r2tufzngapbdl7ouvohlj6m.pdf	./txt/work_mx7r2tufzngapbdl7ouvohlj6m.txt