Estimation of Dominant Land Use / Land Cover per DioceseDATA (details below): 1. MODIS Land Cover, Land Cover Type 2: University of Maryland (UMD) scheme2. Global Diocesan Boundaries, 2.0 2019 (1:3M Scale)DATA PROCESSINGZONAL STATISTICS: MODIS Land Cover, Land Cover Type 2: University of Maryland (UMD) scheme --> Global Diocesan Boundaries, 2.0 2019 (1:3M Scale)NOTE:Values for various landuse and land cover (LULC) codes are in pixels. Pixels were 500m sq. Total represents sum of values between 1 and 17 which represented the actual data. Data pixels with center in a diocese can dived each class by the total to get percentage, more accurately this is not simply the percent of LULC per diocese but a percent of pixels representing LULC in diocese. Values could be used to rank by a particular LULC type or could normalize by area also.Data development:Burhans, Molly A., Cheney, David M., Emege, Thomas, Gerlt, R.. . “Land use and land cover per diocese”. 1:3M. Version 1.0. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.Affiliated Map and Application Development:Molly Burhans, October 2019DATA SET 1: LAND USE LAND COVERGlobal mosaics of the standard MODIS land cover type dataChannan, S., K. Collins, and W. R. Emanuel. 2014. Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA. 2013.ABOUT MODIS LAND COVERINFORMATION QUOTED FROM:URL: https://yceo.yale.edu/modis-land-cover-product-mcd12q1SOURCE: Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., andHuang, X. (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168–182.

Estimate of Dominant Land Use / Land Cover per DioceseDATA (details below): 1. MODIS Land Cover, Land Cover Type 2: University of Maryland (UMD) scheme2. Global Diocesan Boundaries, 2.0 2019 (1:3M Scale)DATA PROCESSINGZONAL STATISTICS: MODIS Land Cover, Land Cover Type 2: University of Maryland (UMD) scheme --> Global Diocesan Boundaries, 2.0 2019 (1:3M Scale)NOTE:Values for various landuse and land cover (LULC) codes are in pixels. Pixels were 500m sq. Total represents sum of values between 1 and 17 which represented the actual data. Data pixels with center in a diocese can dived each class by the total to get percentage, more accurately this is not simply the percent of LULC per diocese but a percent of pixels representing LULC in diocese. Values could be used to rank by a particular LULC type or could normalize by area also.Data development:Burhans, Molly A., Cheney, David M., Emege, Thomas, Gerlt, R.. . “Land use and land cover per diocese”. 1:3M. Version 1.0. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.Affiliated Map and Application Development:Molly Burhans, October 2019DATA SET 1: LAND USE LAND COVERGlobal mosaics of the standard MODIS land cover type dataChannan, S., K. Collins, and W. R. Emanuel. 2014. Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland, USA. 2013.ABOUT MODIS LAND COVERINFORMATION QUOTED FROM:URL: https://yceo.yale.edu/modis-land-cover-product-mcd12q1SOURCE: Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., andHuang, X. (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168–182.