HRSL Burkina Faso Raster Dataset Tags population, demography, Burkina Faso Summary Provide detailed population estimates for research in humanitarian,

Size: px

Start display at page:

Download "HRSL Burkina Faso Raster Dataset Tags population, demography, Burkina Faso Summary Provide detailed population estimates for research in humanitarian,"

自山
4 years ago
Views:

1 HRSL Burkina Faso Raster Dataset Tags population, demography, Burkina Faso Summary Provide detailed population estimates for research in humanitarian, disaster response, sustainability, and infrastructure planning fields. Description The High Resolution Settlement Layer (HRSL) provides estimates of human population distribution at a resolution of 1 arc second (approximately 30m) for the year The population estimates are based on recent census data and high resolution (0.5m) satellite imagery from DigitalGlobe. The population grids provide detailed delineation of settlements in both urban and rural areas. The data were developed using computer vision techniques to classify blocks of optical satellite data as settled (containing buildings) or not. Proportional allocation was used to distribute population data from subnational census data to the settlement extents. The data are distributed as a GeoTIFF file with three bands. Band 1 represents the population estimates (in persons). Band 2 represents settlement extents and has a value of 1 where buildings were detected in the imagery. It is possible for buildings to be detected in pixels but no population values assigned in cases where the census data show a unit as uninhabited. Band 3 has a value of 1 where cloud was present in the source imagery. Credits Connectivity Lab at Facebook. Center for International Earth Science Information Network CIESIN Columbia University. Source imagery provided by DigitalGlobe. Census data collected as part of the Gridded Population of the World project. Use limitations This work is licensed under the Creative Commons Attribution 4.0 International License ( Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non commercial purposes, without restriction, as long as clear attribution of the source is provided. Extent West East North South Scale Range Maximum (zoomed in) 1:5,000 Minimum (zoomed out) 1:150,000,000 ArcGIS Metadata Topics and Keywords T 䅿 괗 钍䯙㗊喘穋滓䯙㗊栉钍䯙姳穋䅿㗊钍䯙㗊 society * C 䯙穋穋穋酪邨 Downloadable Data E 汕邨䯙㗊穋穋䯙 FGDC CSDGM XML 姳䯙㗊괗 喘穋喘钍 R 钍䯙㗊 D 钍㗊栉邨穋栉䯙 No Pⱇ 喘孕酪 껤 䯙㗊힏 钍 T 䅿 괗 孕酪 껤 䯙㗊힏 钍 Burkina Faso population, demography

2 Hide Topics and Keywords Citation T 栉穋 ⱇ HRSL Burkina Faso C 㗊喘穋栉䯙 힏 喘穋 :00:00 P 킹 ⱇ 栉喘穋栉䯙 힏 喘穋 :00:00 E 힏 栉穋栉䯙 1.0 E 힏 栉穋栉䯙 힏 喘穋 P 㗊钍穋喘穋栉䯙姳䯙㗊괗 喘穋钍 digital image C 䯙 ⱇ ⱇ 穋栉䯙穋栉穋 ⱇ High Resolution Settlement Layer (HRSL) O 穋䅿㗊栉穋喘穋栉䯙 힏 穋喘栉 ⱇ 钍 Recommended citation: Facebook Connectivity Lab and Center for International Earth Science Information Network CIESIN Columbia University High Resolution Settlement Layer (HRSL). Source Imagery 2016 DigitalGlobe, Inc. Accessed [DAY MONTH YEAR] Hide Citation Locales L 䯙喘 ⱇ English (UNITED STATES) Hide Locales Resource Details D 喘穋喘钍穋 ⱇ 喘滓喘滓钍 English (UNITED STATES) D 喘穋喘钍穋䅿喘㗊喘穋㗊钍穋 utf8 8 bit UCS Transfer Format S 邨喘穋栉喘 ⱇ 㗊邨㗊钍穋喘穋栉䯙穋酪邨 grid * P 㗊䯙钍钍栉滓 줖栉㗊䯙 괗 穋 Version 6.2 (Build 9200) ; Esri ArcGIS C 㗊 힏 栉穋钍 Connectivity Lab at Facebook. Center for International Earth Science Information Network CIESIN Columbia University. Source imagery provided by DigitalGlobe. Census data collected as part of the Gridded Population of the World project. A 㗊 GIS 栉穋 괗 邨㗊䯙邨㗊穋栉钍 * N 喘 괗 hrsl_bfa.tif * L 䯙喘穋栉䯙 * A 钍钍邨㗊䯙穋䯙䯙 ⱇ web Hide Resource Details Extents E 汕穋穋 G 䯙滓㗊喘邨䅿栉汕穋穋 B 䯙 힏 栉滓㗊穋喘滓 ⱇ W 钍穋 ⱇ 䯙滓栉穋 힏 E 喘钍穋 ⱇ 䯙滓栉穋 힏 S 䯙穋䅿 ⱇ 喘穋栉穋 힏 N 䯙㗊穋䅿 ⱇ 喘穋栉穋 힏 E 汕穋穋䯙穋喘栉钍穋䅿㗊钍䯙㗊 Yes E 汕穋穋 G 䯙滓㗊喘邨䅿栉汕穋穋 B 䯙 힏 栉滓㗊穋喘滓 ⱇ W 钍穋 ⱇ 䯙滓栉穋 힏 E 喘钍穋 ⱇ 䯙滓栉穋 힏 S 䯙穋䅿 ⱇ 喘穋栉穋 힏 N 䯙㗊穋䅿 ⱇ 喘穋栉穋 힏 E 汕穋穋䯙穋喘栉钍穋䅿㗊钍䯙㗊 Yes E 汕穋穋 G 䯙滓㗊喘邨䅿栉汕穋穋 B 䯙 힏 栉滓㗊穋喘滓 ⱇ W 钍穋 ⱇ 䯙滓栉穋 힏 E 喘钍穋 ⱇ 䯙滓栉穋 힏 S 䯙穋䅿 ⱇ 喘穋栉穋 힏 N 䯙㗊穋䅿 ⱇ 喘穋栉穋 힏 E 汕穋穋䯙穋喘栉钍穋䅿㗊钍䯙㗊 Yes E 汕穋穋 G 䯙滓㗊喘邨䅿栉汕穋穋 B 䯙 힏 栉滓㗊穋喘滓 ⱇ W 钍穋 ⱇ 䯙滓栉穋 힏 E 喘钍穋 ⱇ 䯙滓栉穋 힏 S 䯙穋䅿 ⱇ 喘穋栉穋 힏

3 N 䯙㗊穋䅿 ⱇ 喘穋栉穋 힏 E 汕穋穋䯙穋喘栉钍穋䅿㗊钍䯙㗊 Yes E 汕穋穋 G 䯙滓㗊喘邨䅿栉汕穋穋 B 䯙 힏 栉滓㗊穋喘滓 ⱇ E 汕穋穋穋酪邨 Extent used for searching * W 钍穋 ⱇ 䯙滓栉穋 힏 * E 喘钍穋 ⱇ 䯙滓栉穋 힏 * N 䯙㗊穋䅿 ⱇ 喘穋栉穋 힏 * S 䯙穋䅿 ⱇ 喘穋栉穋 힏 * E 汕穋穋䯙穋喘栉钍穋䅿㗊钍䯙㗊 Yes E 汕穋穋栉穋䅿栉穋 괗 ' 钍䯙䯙㗊힏 栉喘穋钍酪钍穋 괗 * W 钍穋 ⱇ 䯙滓栉穋 힏 * E 喘钍穋 ⱇ 䯙滓栉穋 힏 * S 䯙穋䅿 ⱇ 喘穋栉穋 힏 * N 䯙㗊穋䅿 ⱇ 喘穋栉穋 힏 * E 汕穋穋䯙穋喘栉钍穋䅿㗊钍䯙㗊 Yes Hide Extents Resource Points of Contact P 䯙栉穋䯙姳䯙穋喘穋 I 힏 栉 줖栉 힏 喘 ⱇ ' 钍喘 괗 CIESIN User Services O 㗊滓喘栉讀喘穋栉䯙 ' 钍喘 괗 Center for International Earth Science Information Network CIESIN Columbia University C 䯙穋喘穋 ' 钍㗊䯙 ⱇ point of contact C 䯙穋喘穋栉姳䯙㗊괗 喘穋栉䯙 P 䅿䯙 V 䯙栉 +1 (845) F 喘汕 +1 (845) A 힏 힏 㗊钍钍 D ⱇ 栉 줖 㗊酪邨䯙栉穋 PO Box 1000 C 栉穋酪 Palisades A 힏 괗 栉栉钍穋㗊喘穋栉 줖 喘㗊喘 NY P 䯙钍穋喘 ⱇ 䯙힏 C 䯙穋㗊酪 US 괗 喘栉 ⱇ 喘 힏 힏 㗊钍钍 ciesin.info@ciesin.columbia.edu H 䯙㗊钍䯙姳钍㗊줖栉 9 5 Monday Friday Hide Contact information Hide Resource Points of Contact Resource Maintenance R 钍䯙㗊 괗 喘栉穋喘 U 邨힏 喘穋姳㗊陧酪 irregular Hide Resource Maintenance Resource Constraints L 滓喘 ⱇ 䯙钍穋㗊喘栉穋钍 L 栉 괗 栉穋喘穋栉䯙钍䯙姳钍 CIESIN strives to disseminate quality Data and to provide accurate metadata and documentation consistent with best practices and accepted standards. This includes appropriate version control and archiving so that users understand changes to Data and can obtain previous versions for comparison purposes. Nevertheless, CIESIN, Columbia University, and their sponsors offer Data on a where is, as is basis and do not offer an express or implied warranty regarding quality, applicability, or accuracy. L 滓喘 ⱇ 䯙钍穋㗊喘栉穋钍 L 栉 괗 栉穋喘穋栉䯙钍䯙姳钍 This work is licensed under the Creative Commons Attribution 4.0 International License ( Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non commercial purposes, without restriction, as long as clear attribution of the source is provided. C 䯙钍穋㗊喘栉穋钍 L 栉 괗 栉穋喘穋栉䯙钍䯙姳钍 This work is licensed under the Creative Commons Attribution 4.0 International License ( Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non commercial purposes, without restriction, as long as clear attribution of the source is provided.

4 Hide Resource Constraints Spatial Reference A 㗊 GIS 䯙䯙㗊힏 栉喘穋钍酪钍穋 괗 * T 酪邨 Geographic * G 䯙滓㗊喘邨䅿栉䯙䯙㗊힏 栉喘穋㗊姳㗊 GCS_WGS_1984 * C 䯙䯙㗊힏 栉喘穋㗊姳㗊 힏 穋喘栉 ⱇ 钍 G 䯙滓㗊喘邨䅿栉䯙䯙㗊힏 栉喘穋钍酪钍穋 괗 W ⱇ ⱇ 孕䯙껤 栉 힏 穋栉姳栉㗊 4326 X 䯙㗊栉滓栉 400 Y 䯙㗊栉滓栉 400 XY 钍喘 ⱇ Z 䯙㗊栉滓栉 Z 钍喘 ⱇ M 䯙㗊栉滓栉 M 钍喘 ⱇ XY 穋䯙 ⱇ 㗊喘 e 009 Z 穋䯙 ⱇ 㗊喘 M 穋䯙 ⱇ 㗊喘 H 栉滓䅿邨㗊栉钍栉䯙 true L 姳穋 ⱇ 䯙滓栉穋 힏 180 L 喘穋钍穋껤 ⱇ ⱇ 孕䯙껤 栉 힏 穋栉姳栉㗊 4326 W ⱇ ⱇ 孕䯙껤 穋汕穋 GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984", , ]],PRIMEM["Greenwich",0.0],UNIT["Degree", R 姳㗊钍酪钍穋 괗 栉 힏 穋栉姳栉㗊 V 喘 ⱇ 4326 * C 䯙힏 钍邨喘 EPSG * V 㗊钍栉䯙 6.14(3.0.1) Hide Spatial Reference Spatial Data Properties G 䯙㗊穋栉姳栉 힏 G 㗊栉 힏 * N 괗 킹 㗊䯙姳힏 栉 괗 钍栉䯙钍 2 A 汕栉钍 힏 栉 괗 钍栉䯙钍邨㗊䯙邨㗊穋栉钍 D 栉 괗 钍栉䯙穋酪邨 row (y axis) * D 栉 괗 钍栉䯙钍栉讀 * R 钍䯙 ⱇ 穋栉䯙 deg (degree) A 汕栉钍 힏 栉 괗 钍栉䯙钍邨㗊䯙邨㗊穋栉钍 D 栉 괗 钍栉䯙穋酪邨 column (x axis) * D 栉 괗 钍栉䯙钍栉讀 * R 钍䯙 ⱇ 穋栉䯙 deg (degree) * C ⱇ ⱇ 滓䯙괗 穋㗊酪 area * P 䯙栉穋栉邨栉汕 ⱇ center * T 㗊喘钍姳䯙㗊괗 喘穋栉䯙邨喘㗊喘 괗 穋㗊钍喘㗊喘 줖喘栉 ⱇ 喘 킹 ⱇ Yes * C 䅿孕邨䯙栉穋钍喘㗊喘 줖喘栉 ⱇ 喘 킹 ⱇ No C 䯙㗊㗊邨䯙栉穋钍 * P 䯙栉穋 U 栉陧栉 힏 穋栉姳栉㗊 ID0EOGAC * P 䯙栉穋 U 栉陧栉 힏 穋栉姳栉㗊 ID0EAHAC * P 䯙栉穋 U 栉陧栉 힏 穋栉姳栉㗊 ID0EUGAC * P 䯙栉穋 U 栉陧栉 힏 穋栉姳栉㗊 ID0E1GAC * C 穋㗊邨䯙栉穋 U 栉陧栉 힏 穋栉姳栉㗊 ID0EGHAC Hide Georectified Grid A 㗊 GIS R 喘钍穋㗊 P 㗊䯙邨㗊穋栉钍

5 G 㗊喘 ⱇ I 姳䯙㗊괗 喘穋栉䯙 * P 栉汕 ⱇ 힏 邨穋䅿 64 * C 䯙괗 邨㗊钍钍栉䯙穋酪邨 LZW * N 괗 킹 㗊䯙姳킹 喘 힏 钍 3 * R 喘钍穋㗊姳䯙㗊괗 喘穋 TIFF * S 䯙㗊穋酪邨 continuous * P 栉汕 ⱇ 穋酪邨 double precision * N 䯙힏 喘穋喘 줖喘 ⱇ e+308 * H 喘钍䯙 ⱇ 䯙㗊괗 喘邨 No * H 喘钍邨酪㗊喘 괗 栉 힏 钍 Yes Hide ArcGIS Raster Properties Hide Spatial Data Properties Spatial Data Content I 괗 喘滓 D 钍㗊栉邨穋栉䯙 * T 酪邨䯙姳栉姳䯙㗊괗 喘穋栉䯙 image A 穋穋㗊栉 킹 穋 힏 钍㗊栉 킹 힏 킹 酪 ⱇ ⱇ 줖喘 ⱇ 钍 Band_1: Persons (count); Band_2 Settlement Extent (Boolean); Band_3 Cloud (Boolean) B 喘 힏 栉姳䯙㗊괗 喘穋栉䯙 * D 钍㗊栉邨穋栉䯙 Band_1 S 陧栉 힏 穋栉姳栉㗊 N 喘 괗 1 T 酪邨 modeled * M 喘汕栉 괗 괗 줖喘 ⱇ * M 栉栉 괗 괗 줖喘 ⱇ C 䯙힏 钍邨喘 U 栉陧栉 힏 穋栉姳栉㗊 ID0AAABCCAAA I 힏 穋栉姳栉㗊 Unified Code of Units of Measure C 䯙힏 钍邨喘 GML_UomSymbol * N 괗 킹 㗊䯙姳킹 栉穋钍邨㗊줖喘 ⱇ 64 B 喘 힏 栉姳䯙㗊괗 喘穋栉䯙 * D 钍㗊栉邨穋栉䯙 Band_2 S 陧栉 힏 穋栉姳栉㗊 N 喘 괗 2 T 酪邨 modeled * M 喘汕栉 괗 괗 줖喘 ⱇ * M 栉栉 괗 괗 줖喘 ⱇ * N 괗 킹 㗊䯙姳킹 栉穋钍邨㗊줖喘 ⱇ 64 B 喘 힏 栉姳䯙㗊괗 喘穋栉䯙 * D 钍㗊栉邨穋栉䯙 Band_3 S 陧栉 힏 穋栉姳栉㗊 N 喘 괗 3 T 酪邨 observed * M 喘汕栉 괗 괗 줖喘 ⱇ * M 栉栉 괗 괗 줖喘 ⱇ * N 괗 킹 㗊䯙姳킹 栉穋钍邨㗊줖喘 ⱇ 64 I괗 喘滓栉滓䯙 힏 栉穋栉䯙 cloud P 㗊穋 ⱇ 䯙 힏 䯙줖 㗊.26 T 㗊栉喘滓 ⱇ 喘穋栉䯙䅿喘钍 킹 邨㗊姳䯙㗊괗 힏 No R 喘 힏 栉䯙괗 穋㗊栉喘 ⱇ 栉 킹 㗊喘穋栉䯙栉钍喘 줖喘栉 ⱇ 喘 킹 ⱇ No C 喘 괗 㗊喘喘 ⱇ 栉 킹 㗊喘穋栉䯙栉钍喘 줖喘栉 ⱇ 喘 킹 ⱇ No F 栉 ⱇ 괗 힏 栉钍穋䯙㗊穋栉䯙栉姳䯙㗊괗 喘穋栉䯙栉钍喘 줖喘栉 ⱇ 喘 킹 ⱇ No L 钍 힏 栉钍穋䯙㗊穋栉䯙栉姳䯙㗊괗 喘穋栉䯙栉钍喘 줖喘栉 ⱇ 喘 킹 ⱇ No Hide Spatial Data Content Data Quality S 䯙邨䯙姳陧喘 ⱇ 栉穋酪栉姳䯙㗊괗 喘穋栉䯙 R 钍䯙㗊 ⱇ 줖 ⱇ dataset

6 Hide Scope of quality information D 喘穋喘陧喘 ⱇ 栉穋酪㗊邨䯙㗊穋 C 䯙괗 邨 ⱇ 穋钍钍䯙괗 栉钍钍栉䯙 M 喘钍㗊喘 괗 Landmass covered M 喘钍㗊 힏 钍㗊栉邨穋栉䯙 Proportion of the country included in the analysis Q 喘穋栉穋喘穋栉 줖 穋钍穋㗊钍 ⱇ 穋钍 V 喘 ⱇ 1.0 C 䯙힏 钍邨喘 U 栉陧栉 힏 穋栉姳栉㗊 ID0ABACABADA I 힏 穋栉姳栉㗊 Unified Code of Units of Measure C 䯙힏 钍邨喘 GML_UomSymbol V 喘 ⱇ 穋酪邨 Completeness E 㗊㗊䯙㗊钍穋喘穋栉钍穋栉 Proportion E 줖喘 ⱇ 喘穋栉䯙穋酪邨 direct internal Hide Data quality report Completeness omission D 喘穋喘陧喘 ⱇ 栉穋酪㗊邨䯙㗊穋 T 䅿 괗 喘穋栉 ⱇ 喘钍钍栉姳栉喘穋栉䯙䯙㗊㗊穋钍钍 M 喘钍㗊喘 괗 Recall M 喘钍㗊 힏 钍㗊栉邨穋栉䯙 Recall of computer vision classification used to identify settlements in the imagery. Recall or sensitivity, is the fraction of relevant instances that are retrieved. Recall = TP / (TP + FN) Where TP = true positive, FP = false positive, FN = false negative Q 喘穋栉穋喘穋栉 줖 穋钍穋㗊钍 ⱇ 穋钍 V 喘 ⱇ 0.92 C 䯙힏 钍邨喘 U 栉陧栉 힏 穋栉姳栉㗊 ID0ABACABBDA I 힏 穋栉姳栉㗊 Unified Code of Units of Measure C 䯙힏 钍邨喘 GML_UomSymbol V 喘 ⱇ 穋酪邨 Classifier performance metric E 㗊㗊䯙㗊钍穋喘穋栉钍穋栉 Fraction E 줖喘 ⱇ 喘穋栉䯙穋酪邨 direct internal Hide Data quality report Thematic classification correctness D 喘穋喘陧喘 ⱇ 栉穋酪㗊邨䯙㗊穋 T 䅿 괗 喘穋栉 ⱇ 喘钍钍栉姳栉喘穋栉䯙䯙㗊㗊穋钍钍 M 喘钍㗊喘 괗 Precision M 喘钍㗊 힏 钍㗊栉邨穋栉䯙 Precision of computer vision classification used to identify settlements in the imagery. Precision, or positive predictive value, is the fraction of retrieved instances that are relevant in the classification. Precision = TP / (TP + FP) Where TP = true positive, FP = false positive, FN = false negative Q 喘穋栉穋喘穋栉 줖 穋钍穋㗊钍 ⱇ 穋钍 V 喘 ⱇ 0.94 C 䯙힏 钍邨喘 U 栉陧栉 힏 穋栉姳栉㗊 ID0ABACABCDA I 힏 穋栉姳栉㗊 Unified Code of Units of Measure C 䯙힏 钍邨喘 GML_UomSymbol V 喘 ⱇ 穋酪邨 Classifier performance metric E 㗊㗊䯙㗊钍穋喘穋栉钍穋栉 Fraction

7 Hide Data quality report Thematic classification correctness Hide Data Quality Lineage S 䯙㗊 힏 喘穋喘 D 钍㗊栉邨穋栉䯙 DigtalGlobe Basemap +Vivid Vivid.html Hide Source data S 䯙㗊 힏 喘穋喘 D 钍㗊栉邨穋栉䯙 Gridded Population of the World, version 4 (GPWv4) input census data. Hide Source data Hide Lineage Distribution D 栉钍穋㗊栉 킹 穋栉䯙姳䯙㗊괗 喘穋 * N 喘 괗 Raster Dataset V 㗊钍栉䯙 6.0 S 邨栉姳栉喘穋栉䯙 GeoTIFF F 栉 ⱇ 힏 䯙괗 邨㗊钍钍栉䯙穋䅿栉陧 LZW Hide Distribution Metadata Details M 穋喘 힏 喘穋喘 ⱇ 喘滓喘滓 English (UNITED STATES) M 穋喘 힏 喘穋喘䅿喘㗊喘穋㗊钍穋 utf8 8 bit UCS Transfer Format M 穋喘 힏 喘穋喘栉 힏 穋栉姳栉㗊 C4 AE3F 4082 A7C3 9298E5CC48B9 S 䯙邨䯙姳穋䅿 힏 喘穋喘 힏 钍㗊栉 킹 힏 킹 酪穋䅿 괗 穋喘 힏 喘穋喘 S 䯙邨喘 괗 * dataset dataset * L 喘钍穋邨힏 喘穋 A 㗊 GIS 괗 穋喘 힏 喘穋喘邨㗊䯙邨㗊穋栉钍 M 穋喘 힏 喘穋喘姳䯙㗊괗 喘穋 ArcGIS 1.0 S 穋喘 힏 喘㗊힏 䯙㗊邨㗊䯙姳栉 ⱇ 钍 힏 穋䯙 힏 栉穋괗 穋喘 힏 喘穋喘 ISO19139 C 㗊喘穋 힏 栉 A 㗊 GIS 姳䯙㗊穋䅿栉穋 괗 :57:43 L 喘钍穋괗 䯙힏 栉姳栉 힏 栉 A 㗊 GIS 姳䯙㗊穋䅿栉穋 괗 :22:06 A 穋䯙괗 喘穋栉邨힏 喘穋钍 H 喘 줖 킹 邨㗊姳䯙㗊괗 힏 Yes L 喘钍穋邨힏 喘穋 :21:24 Hide Metadata Details Metadata Contacts M 穋喘 힏 喘穋喘䯙穋喘穋 I 힏 栉 줖栉 힏 喘 ⱇ ' 钍喘 괗 CIESIN User Services O 㗊滓喘栉讀喘穋栉䯙 ' 钍喘 괗 Center for International Earth Science Information Network CIESIN Columbia University C 䯙穋喘穋 ' 钍㗊䯙 ⱇ point of contact C 䯙穋喘穋栉姳䯙㗊괗 喘穋栉䯙 P 䅿䯙 V 䯙栉 +1 (845) F 喘汕 +1 (845) A 힏 힏 㗊钍钍 D ⱇ 栉 줖 㗊酪邨䯙栉穋 PO Box 1000 C 栉穋酪 Palisades A 힏 괗 栉栉钍穋㗊喘穋栉 줖 喘㗊喘 NY P 䯙钍穋喘 ⱇ 䯙힏 C 䯙穋㗊酪 US 괗 喘栉 ⱇ 喘 힏 힏 㗊钍钍 ciesin.info@ciesin.columbia.edu

8 H 䯙㗊钍䯙姳钍㗊줖栉 9 5 Monday Friday Hide Contact information Hide Metadata Contacts Metadata Maintenance M 喘栉穋喘 U 邨힏 喘穋姳㗊陧酪 as needed Hide Metadata Maintenance Thumbnail and Enclosures T 䅿 괗 킹 喘栉 ⱇ Hide Thumbnail and Enclosures

coverage2.ppt

coverage2.ppt Satellite Tool Kit STK/Coverage STK 82 0715 010-68745117 1 Coverage Definition Figure of Merit 2 STK Basic Grid Assets Interval Description 3 Grid Global Latitude Bounds Longitude Lines Custom Regions