Big data for environment and agriculture statistics
View/ Open
Date
2021Corporate Author/ s
UN.ESCAP
Cite
Bibliographic Managers
RT Generic T1 Big data for environment and agriculture statistics A1 Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja, Hansen, Rikke Munk YR 2021 LK https://hdl.handle.net/20.500.12870/3434 PB United Nations AB This Working Paper gives an overview of how geospatial information and Earth Observation data can be used to produce environment and agriculture statistics and presents specific country examples from Asia and the Pacific. It also provides examples of specific country-led efforts to use Earth Observation data for the compilation of SDG indicators. This Working Paper is part of ESCAP's series on the use of non-traditional data sources for official statistics. OL English(30) TY - GEN T1 - Big data for environment and agriculture statistics AU - Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja, Hansen, Rikke Munk Y1 - 2021 UR - https://hdl.handle.net/20.500.12870/3434 PB - United Nations AB - This Working Paper gives an overview of how geospatial information and Earth Observation data can be used to produce environment and agriculture statistics and presents specific country examples from Asia and the Pacific. It also provides examples of specific country-led efforts to use Earth Observation data for the compilation of SDG indicators. This Working Paper is part of ESCAP's series on the use of non-traditional data sources for official statistics. @misc{20.500.12870_3434 author = {Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja, Hansen, Rikke Munk}, title = {Big data for environment and agriculture statistics}, year = {2021}, abstract = {This Working Paper gives an overview of how geospatial information and Earth Observation data can be used to produce environment and agriculture statistics and presents specific country examples from Asia and the Pacific. It also provides examples of specific country-led efforts to use Earth Observation data for the compilation of SDG indicators. This Working Paper is part of ESCAP's series on the use of non-traditional data sources for official statistics.}, url = {https://hdl.handle.net/20.500.12870/3434} } @misc{20.500.12870_3434 author = {Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja, Hansen, Rikke Munk}, title = {Big data for environment and agriculture statistics}, year = {2021}, abstract = {This Working Paper gives an overview of how geospatial information and Earth Observation data can be used to produce environment and agriculture statistics and presents specific country examples from Asia and the Pacific. It also provides examples of specific country-led efforts to use Earth Observation data for the compilation of SDG indicators. This Working Paper is part of ESCAP's series on the use of non-traditional data sources for official statistics.}, url = {https://hdl.handle.net/20.500.12870/3434} } TY - GEN T1 - Big data for environment and agriculture statistics AU - Bernal, Irina, Van Halderen, Gemma, Sejersen, Tanja, Hansen, Rikke Munk UR - https://hdl.handle.net/20.500.12870/3434 PB - United Nations AB - This Working Paper gives an overview of how geospatial information and Earth Observation data can be used to produce environment and agriculture statistics and presents specific country examples from Asia and the Pacific. It also provides examples of specific country-led efforts to use Earth Observation data for the compilation of SDG indicators. This Working Paper is part of ESCAP's series on the use of non-traditional data sources for official statistics.Metadata
Show full item recordCountry/Region
Series/Journal Title
Statistics Division Working Paper Series
No. SD/WP/13/April 2021
No. SD/WP/13/April 2021
Area(s) of Work
UNBIST Subject
Abstract
This Working Paper gives an overview of how geospatial information and Earth Observation data can be used to produce environment and agriculture statistics and presents specific country examples from Asia and the Pacific. It also provides examples of specific country-led efforts to use Earth Observation data for the compilation of SDG indicators. This Working Paper is part of ESCAP's series on the use of non-traditional data sources for official statistics.