@Article{BroichSteHanPotShi:2009:CaStBr,
               author = "Broich, Mark and Stehman, Stephen V. and Hansen, Matthew C. and 
                         Potapov, Peter and Shimabukuro, Yosio Edemir",
          affiliation = "Geographic Information Science Center of Excellence, South Dakota 
                         State University, Wecota Hall, Brookings, SD 57007, United States 
                         and Geographic Information Science Center of Excellence, South 
                         Dakota State University, Wecota Hall, Brookings, SD 57007, United 
                         States and State University of New York, College of Environmental 
                         Science and Forestry, Syracuse, NY 13210, United States and 
                         Geographic Information Science Center of Excellence, South Dakota 
                         State University, Wecota Hall, Brookings, SD 57007, United 
                         States",
                title = "A comparison of sampling designs for estimating deforestation from 
                         Landsat imagery: a case study of the Brazilian Legal Amazon",
              journal = "Remote Sensing of Environment",
                 year = "2009",
               volume = "113",
               number = "11",
                pages = "2448--2454",
                month = "Nov.",
             keywords = "FAO Forest Resource Assessment 2010, Forest area, Hotspots, Humid 
                         tropical forest, Humid tropics, Landsat imagery, MODIS, PRODES, 
                         Sample sizes, Sampling design, Simple random sampling, Standard 
                         errors, Stratified sampling, Study areas, Systematic designs, 
                         Systematic sampling, Deforestation, Design, Estimation, Population 
                         statistics, Radiometers, Random errors, Research, Spectrometers, 
                         Systematic errors, Tropics, Voltage measurement, Sampling, 
                         deforestation, ecosystem approach, forest clearance, forest 
                         resource, hot spot, humid tropics, Landsat, sampling, satellite 
                         imagery, stratification, taxonomy, Biological Populations, 
                         Deforestation, Design, Errors, Estimation, Forestry, Research, 
                         Sampling, Spectrometers, Statistics, Brazil, South America.",
             abstract = "Three sampling designs simple random, stratified random, and 
                         systematic sampling are compared on the basis of precision of 
                         estimated loss of intact humid tropical forest area in the 
                         Brazilian Legal Amazon from 2000 to 2005. MODIS-derived 
                         deforestation is used to partition the study area into strata to 
                         intensify sampling within forest clearing hotspots. The precision 
                         of the estimator of deforestation area for each design is 
                         calculated from a population of wall-to-wall PRODES deforestation 
                         data available for the study area. Both systematic and stratified 
                         sampling yield smaller standard errors than simple random 
                         sampling, and the stratified design has smaller standard errors 
                         than the systematic design at each sample size evaluated. The 
                         results of this case study demonstrate the utility of a stratified 
                         design based on MODIS-derived deforestation data to improve 
                         precision of the estimated loss of intact forest area as estimated 
                         from sampling Landsat imagery.",
                  doi = "10.1016/j.rse.2009.07.011",
                  url = "http://dx.doi.org/10.1016/j.rse.2009.07.011",
                 issn = "0034-4257",
             language = "en",
           targetfile = "sdarticleyosio.pdf",
        urlaccessdate = "21 maio 2024"
}