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Using Open Foris Collect Earth in Kyrgyzstan to support greenhouse gas inventory in the land use, land use change, and forestry sector

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Abstract

The Kyrgyz Republic (Kyrgyzstan) is one of the countries most vulnerable to the adverse effects of climate change in Central Asia. The land use, land use change, and forestry (LULUCF) sector is critical in climate change mitigation in Kyrgyzstan and is integral to national greenhouse gas (GHG) inventories. However, consistent, complete, and updated activity data is required for the LULUCF sector to develop a transparent GHG inventory. Collect Earth (CE), developed by the Food and Agriculture Organization of the United Nations (FAO), is a free, user-friendly, and open-source tool for collecting activity data for the LULUCF sector. CE assists countries in developing GHG inventories by providing consistent and complete land representation. This article reports an estimate of land use and land-use change dynamics in Kyrgyzstan, based on analyzing 13,414 1-hectare (ha) sampling units through an augmented visual interpretation approach using satellite imagery at the very high spatial and temporal resolution available through the Google Earth platform. The results show that in 2019, forests covered 1.36 million ha or 6.83% of the total land with a 6.23% uncertainty. This estimate was 5 to 16% higher than previous estimates, detecting an additional 63,024 to 188,164 ha of forestland that had not been reported previously. The new estimates suggest an average increase of 10.4% in the current forestlands of Kyrgyzstan.

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Data availability

The data supporting this study’s findings are available on request from the corresponding author, Caglar Bassullu.

Notes

  1. The total area (19,905,183 ha) of Kyrgyzstan is created by CE (extracted from areas_per_attribute.csv) and could differ from the official statistics (19,995,100 ha).

  2. The total area (19,180,000 ha) of Kyrgyzstan by FAO and could differ from the official statistics (19,995,100 ha).

References

  • Bastin, J. F., Berrahmouni, N., Grainger, A., Maniatis, D., Mollicone, D., Moore, R., et al. (2017). The extent of forest in dryland biomes. Science, 356(6338), 635–638.

    Article  CAS  Google Scholar 

  • Bey, A., Diaz, A. S., Maniatis, D., Marchi, G., Mollicone, D., Ricci, S., et al. (2016). Collect Earth: Land use and land cover assessment through augmented visual interpretation. Remote Sensing, 8, 807. https://doi.org/10.3390/rs8100807

    Article  Google Scholar 

  • CE. (2023). Open Foris Collect Earth Web Site. https://openforis.org/tools/collect-earth/. Accessed 27 Feb 2023.

  • Chen, X., Bai, J., Li, X., Luo, G., Li, J., & Li, B. L. (2013). Changes in land use/land cover and ecosystem services in Central Asia during 1990–2009. Current Opinion in Environmental Sustainability., 5, 116–127.

    Article  Google Scholar 

  • De Simone, L., Navarro, D., Gennari, P., Pekkarinen, A., & de Lamo, J. (2021). Using standardized time series land cover maps to monitor the SDG indicator “Mountain Green Cover Index” and assess its sensitivity to vegetation dynamics. ISPRS International Journal of Geo-Information, 10, 427. https://doi.org/10.3390/ijgi10070427

    Article  Google Scholar 

  • FAO. (2020). Extent of forest and other wooded land in Azerbaijan. Global Forest Resource Assessment. https://fra-data.fao.org/assessments/fra/2020/KGZ/sections/extentOfForest. Accessed 27 Feb 2023.

  • García-Montero, L. G., Pascual, C., Martín-Fernández, S., Sanchez-Paus Díaz, A., Patriarca, C., Martín-Ortega, P., et al. (2021a). Medium- (MR) and very-high-resolution (VHR) image integration through Collect Earth for monitoring forests and land-use changes: Global forest survey (GFS) in the temperate FAO Ecozone in Europe (2000–2015). Remote Sensing, 13, 4344. https://doi.org/10.3390/rs13214344

    Article  Google Scholar 

  • García-Montero, L. G., Pascual, C., Sanchez-Paus Díaz, A., Martín-Fernández, S., Martín-Ortega, P., García-Robredo, F., et al. (2021b). Land use sustainability monitoring: “Trees outside forests” in temperate FAO-Ecozone (oceanic, continental, and Mediterranean) in Europe (2000–2015). Sustainability., 13, 10175.

    Article  Google Scholar 

  • GoK. (2015). Order of the Government of the Kyrgyz Republic No. 706 about Approval of the Procedure for Carrying Out Forest Management in the Kyrgyz Republic (October 13, 2015). https://cis-legislation.com/document.fwx?rgn=81228. Accessed 7 June 2023.

  • GoK. (2022). Kyrgyzstan brief statistical handbook. National Statistical Committee of the Kyrgyz Republic. http://www.stat.kg/media/publicationarchive/672efdec-dda1-400c-96b4-f0508d24d220.pdf. Accessed 27 Feb 2023.

  • Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., et al. (2013). High-resolution Global Maps of 21st-century forest cover change. Science, 342, 850–853. Data available online from: https://glad.earthengine.app/view/global-forest-change. Accessed 27 Feb 2023.

  • Hu, Y., & Hu, Y. (2019). Land cover changes and their driving mechanisms in Central Asia from 2001 to 2017 supported by Google Earth Engine. Remote Sensing., 11, 554. https://doi.org/10.3390/rs11050554

    Article  Google Scholar 

  • IPCC. (2006). IPCC Guidelines for National Greenhouse Gas Inventories. https://www.ipcc.ch/report/2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/. Accessed 27 Feb 2023.

  • Isaev, E., Kulikov, M., Shibkov, E., & Sidle, R. C. (2023). Bias correction of Sentinel-2 with unmanned aerial vehicle multispectral data for use in monitoring walnut fruit forest in western Tien Shan, Kyrgyzstan. Journal of Applied Remote Sensing, 17(2), 022204–1.

    Google Scholar 

  • Jia, T., Li, Y., Shi, W., & Zhu, L. (2019). Deriving a forest cover map in Kyrgyzstan using a hybrid fusion strategy. Remote Sensing, 11, 2325. https://doi.org/10.3390/rs11192325

    Article  Google Scholar 

  • Khadka, A., Dhungana, M., Khanal, S., & Kharal, D. K. (2020). Forest and other land cover assessment in Nepal using Collect Earth. Banko Janakari, 30(1), 3–11. https://doi.org/10.3126/banko.v30i1.29176

    Article  Google Scholar 

  • Khan, F., Sohail, Z., Khan, T., Fatima, B., Malik, F., Bukhari, S. F. H., et al. (2018). Deforestation: A continuous battle—A case study from Central Asia and other countries. D. Egamberdieva, M. Öztürk (Eds.), Vegetation of Central Asia and Environs. pp. 73–117. https://doi.org/10.1007/978-3-319-99728-5_4

  • Klein, I., Gessner, U., & Kuenzer, C. (2012). Regional land cover mapping and change detection in Central Asia using MODIS time-series. Applied Geography, 35, 219e234. https://doi.org/10.1016/j.apgeog.2012.06.016

    Article  Google Scholar 

  • Li, X., & Shao, G. (2014). Object-based land-cover mapping with high-resolution aerial photography at a county scale in Midwestern USA. Remote Sensing, 6(11), 11372–11390. https://doi.org/10.3390/rs61111372

    Article  Google Scholar 

  • Lioubimtseva, E., Cole, R., Adams, J. M., & Kapustin, G. (2005). Impacts of climate and land-cover changes in arid lands of Central Asia. Journal of Arid Environments, 62, 285–308.

    Article  Google Scholar 

  • Makinta J., Mbandezi S., Mollicone D., Marchi G., Bey A., & SanchezPaus Diaz, A. (2015). Monitoring forests and land use change in South Africa with free and open source software and free satellite imagery. XIV World Forestry Congress, 7–11 September 2015, Durban, South Africa.

  • Maniatis, D., Dionisio, D., Guarnieri, L., Marchi, G., Mollicone, D., Morales, C., et al. (2021). Toward a more representative monitoring of land-use and land-cover dynamics: The use of a sample-based assessment through augmented visual interpretation using Open Foris Collect Earth. Remote Sensing, 13, 4197. https://doi.org/10.3390/rs13214197

    Article  Google Scholar 

  • Martín-Ortega, P., Picard, N., García-Montero, L. G., del Río, S., Penas, A., Marchetti, M., et al. (2018). Importance of Mediterranean forests. In State of Mediterranean Forests 2018, 1st ed., Food and Agriculture Organization of the United Nations, Plan Bleu, Eds.; Food and Agriculture Organization of the United Nations: Rome, Italy; Plan Bleu: Marseille, France, pp. 31–50.

  • Martínez, S., & Mollicone, D. (2012). From land cover to land use: A methodology to assess land use from remote sensing data. Remote Sensing, 4, 1024–1045. https://doi.org/10.3390/rs4041024

    Article  Google Scholar 

  • Nazarkulov, K., Koshoev, M., Toktomametova, J., & Sakyev, D. (2021). Geohazards inventory in Central Asia using the geohazard mapping module of the FAO Collect Earth and Earth Map Tools. International Journal of Geoinformatics, 17(1), Online ISSN 2673-0014.

  • NC3. (2016). Third National Communication of the Kyrgyz Republic under the UN Framework Convention on Climate Change. https://unfccc.int/sites/default/files/resource/NC3_Kyrgyzstan_English_24Jan2017_0.pdf. Accessed 27 Feb 2023.

  • NDC. (2021). Updated Nationally Determined Contribution 2021. https://unfccc.int/sites/default/files/NDC/2022-06/%D0%9E%D0%9D%D0%A3%D0%92%20ENG%20%D0%BE%D1%82%2008102021.pdf. Accessed 27 Feb 2023.

  • NIR. (2022). National inventory report on GHG emissions and removals in the Kyrgyz Republic for the period 1990–2018. https://unfccc.int/sites/default/files/resource/NIR%201990_2018_en.pdf. Accessed 27 Feb 2023.

  • Piroton, V., Schlögel, R., Barbier, C., & Havenith, H. B. (2020). Monitoring the recent activity of landslides in the Mailuu-Suu Valley (Kyrgyzstan) using radar and optical remote sensing techniques. Geosciences, 10, 164. https://doi.org/10.3390/geosciences10050164

    Article  Google Scholar 

  • Reytar, K., Martin, D., Landsberg, F., Ray, S., Granizo, C. G., Cristales, R. Z., et al. (2021). Mapping Together: A guide to monitoring forest and landscape restoration using Collect Earth mapathons. World Research Institute, Washington, DC, USA.

  • Romero-Sanchez, M. E., & Ponce-Hernandez, R. (2017). Assessing and monitoring forest degradation in a deciduous tropical forest in Mexico via remote sensing indicators. Forests, 8, 302. https://doi.org/10.3390/f8090302

    Article  Google Scholar 

  • SAEPF. (2015). Climate Change Adaptation Programme and Action Plan for 2015–2017 for the Forest and Biodiversity Sector. State Agency on Environment Protection and Forestry under the Government of The Kyrgyz Republic, ISBN 978-9967-27-830-1, 56p, Bishkek.

  • Sandker, M., Carrillo, O., Leng, C., Lee, D., d’Annunzio, R., & Fox, J. (2021). The importance of high–quality data for REDD+ monitoring and reporting. Forests, 12, 99. https://doi.org/10.3390/f12010099

    Article  Google Scholar 

  • Schepaschenko, D., See, L., Lesiv, M., Bastin, J. F., Mollicone, D., Tsendbazar, N. E., et al. (2019). Recent advances in forest observation with visual interpretation of very high-resolution imagery. Surveys in Geophysics, 40, 839–862. https://doi.org/10.1007/s10712-019-09533-z

    Article  Google Scholar 

  • Schepaschenko, D., See, L., Lesiv, M., McCallum, I., Fritz, S., Salk, C., et al. (2015). Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics. Remote Sensing of Environment, 162, 208–220.

    Article  Google Scholar 

  • Tomaszewska, M. A., & Henebry, G. M. (2021). Remote sensing of pasture degradation in the highlands of the Kyrgyz Republic: Finer-scale analysis reveals complicating factors. Remote Sensing, 13, 3449. https://doi.org/10.3390/rs13173449

    Article  Google Scholar 

  • Tzamtzis, I., Federici, S., & Hanle, L. (2019). A methodological approach for a consistent and accurate land representation using the FAO Open Foris Collect Earth tool for GHG inventories. Carbon Management, 10, 437–450.

    Article  CAS  Google Scholar 

  • UN. (2011). Map of Kyrgyzstan. https://www.un.org/geospatial/content/kyrgyzstan. Accessed 27 Feb 2023.

  • Wang, W., Samat, A., Ge, Y., Ma, L., Tuheti, A., Zou, S., & Abuduwaili, J. (2020). Quantitative soil wind erosion potential mapping for Central Asia using the Google Earth Engine platform. Remote Sensing, 12, 3430. https://doi.org/10.3390/rs12203430

    Article  Google Scholar 

  • Yin, H., Khamzina, A., Pflugmacher, D., & Martius, C. (2017). Forest cover mapping in post-Soviet Central Asia using multiresolution remote sensing imagery. Scientific Reports, 7, 1375. https://doi.org/10.1038/s41598-017-01582-x

    Article  CAS  Google Scholar 

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Acknowledgements

We thank 29 operators who participated in the “Land Use, Land Use Change, and Forestry Assessment Training” between 15 and 25 April 2019 in Bishkek/Kyrgyzstan; Mr. Ekrem Yazıcı, Lead Technical Officer, for his kind supervision, and Ms. Cholpon Alibakieva, Ms. Cholpon Esenbekova, and Mr. Abdymital Chyngojoev for their support in organizing the training. We would also like to thank anonymous reviewers for their valuable comments on the manuscript.

Funding

The CE tool was developed and is sustained in FAO with support from the Google Earth Outreach team. It is funded by the International Climate Initiative of the German Federal Ministry for the Environment, Nature Conservation, Building, and Nuclear Safety. Collect Earth is based on Collect software, developed with support from the FAO-Finland Technical Cooperation Programme. The authors declare that this study received funding from the Project “Sustainable Management of Mountainous Forest and Land Resources under Climate Change Conditions (GCP/KYR/010/GFF)” supported by Global Environmental Facility (GEF). The funders were not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.

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Contributions

Pablo Martín-Ortega established the CE methodology and survey (area of attributes file, national grids, and Azerbaijan Mapathon (pilot CSV file)). Caglar Bassullu and Pablo Martín-Ortega designed and delivered capacity-building training. Caglar Bassullu and Pablo Martín-Ortega collected and coordinated the data collection by other operators through CE. Pablo Martín-Ortega conducted the quality control, data cleansing procedure, and reassessment of inconsistent sampling units. Pablo Martín-Ortega performed the statistical analyses. Caglar Bassullu conceived, designed, and wrote the paper. Caglar Bassullu and Pablo Martín-Ortega edited the manuscript. All authors contributed to the manuscript revision and read and approved the submitted version. The authors declare no competing financial interest.

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Correspondence to Caglar Bassullu.

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Bassullu, C., Martín-Ortega, P. Using Open Foris Collect Earth in Kyrgyzstan to support greenhouse gas inventory in the land use, land use change, and forestry sector. Environ Monit Assess 195, 977 (2023). https://doi.org/10.1007/s10661-023-11591-1

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