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A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan

Year 2024, Volume: 10 Issue: 3, 14 - 29, 28.12.2024
https://doi.org/10.58626/menba.1464894

Abstract

Periodic land use and land use change assessments monitor the total extent and changes in all land use categories and sub-categories over time to generate highly accurate activity data for effective land use planning and management. Collect Earth is a free access software to monitor the land-use trends in land-use categories over time. The study reports forest and other land-use extent estimates in Azerbaijan’s Agdash and Gakh regions, analyzing 2,543 0.5-hectare sample plots using visual interpretation of very high spatial and temporal resolution satellite imagery on the Google Earth platform. Forestlands in Agdash were assessed to be approximately 7,037 ha or 6.9% of the total region area and have declined by 1.3% since 2000. In contrast, grasslands have grown approximately by 2.07%. Tree cover only exists in 20.9% of Agdash, totaling 21,296 ha. More than 67% of tree cover exists in other land-use categories. The study succeeded in identifying disturbances like flooding, fire, logging, and grazing, and found evidence of river erosion types, rainfall surface runoff, and landslides in Agdash. Gakh forests were assessed to be approximately 41,662 ha or 28% of the total region area. No land use changes were observed in forestlands, other lands, wetlands, or settlements in Gakh since 2000, whereas 104 ha of grasslands were converted to croplands. Trees are present on 49.3% of total land, equal to 73,508 ha. Approximately 56.7% of total tree cover exists in forestlands, and 43.3% exists outside of forests. The research detected disturbances such as logging, fire, and grazing, and found signs of wind, river, coastal, rainfall-runoff, and landslide erosion in Gakh.

Supporting Institution

This study was funded by the Global Environmental Facility (GEF) and MENR as part of the ‶Forest Resources Assessment and Monitoring to Strengthen Forest Knowledge Framework in Azerbaijan (GCP/AZE/007/GFF)″ Project. The study design, data collection and analysis, manuscript preparation, and decision to submit the work for publication were all done without the funders’ input.

Thanks

The author thanks all operators who participated in the “Capacity Development Training on Land Use, Land Use Change, and Forestry Assessment” between 21 and 31 January 2019 in Baku/Azerbaijan; MENR for providing the shapefiles; Ms. Rebecca Tavani, Forestry Officer, for her supervision, Mr. Bariz Mehdiyev, Assistant Representative of FAO Azerbaijan, for his facilitation, Mr. Alfonso Sánchez-Paus Díaz for his support in developing CE methodology and survey, and FAO Azerbaijan Office for organizing the training. The author also expresses his gratitude to the anonymous reviewers for their insightful feedback on the paper.

References

  • Abiyev, Y., Karsli, F., Gumus, S., & Seyfullayev, F. (2020). Analysis of the forest covers dynamics in the Samur-Yalama National Park of Azerbaijan. European Journal of Forest Engineering. 6(1): 23-30. https://doi.org/10.33904/ejfe.724022.
  • Asam, S., Da Ponte, E., Köstl, T., Wuttej, D., Abbasov, S., & Köppler, M. (2019). Mapping grassland extent and degradation in Azerbaijan. ESA Living Planet Symposium, 13-17 May 2019, Mailand, Italy.
  • Ateşoğlu, A., Bulut, F.Ş., & Mandacı, C. (2023). Collect Earth Yöntemi Kullanılarak Yukarı Sakarya Havzasının Arazi Kullanım/Örtü Değişimlerinin (2000-2020) İzlenmesi ve Değerlendirmesi. Journal of Bartin Faculty of Forestry, 2023, 25(3): 434 – 443, doi: 10.24011/barofd.1333672.
  • Bassullu, C., Martín-Ortega, P. (2023). Using Open Foris Collect Earth in Kyrgyzstan to support greenhouse gas inventory in the land use, land use change, and forestry sector. Environmental Monitoring and Assessment. 195, 977. https://doi.org/10.1007/s10661-023-11591-1.
  • Bassullu, C., Martín-Ortega, P. (2024). Field validation of countrywide remote sensing based-land use classification in Kyrgyzstan. Ormancılık Araştırma Dergisi, 11(2), 206-223. https://doi.org/10.17568/ogmoad.1533789.
  • Bassullu, C., Sanchez-Paus Díaz, A. (2023). Open Foris Collect Earth: a remote sensing sampling survey of Azerbaijan to support climate change reporting in the land use, land use change, and forestry. Environ Monit Assess 195, 1236. https://doi.org/10.1007/s10661-023-11870-x.
  • 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.
  • Bastin, J.F., Finegold, Y., Garcia, C., Mollicone, D., Rezende, M., Routh, D., & et al. (2019). The global tree restoration potential. Science. 365, 76–79. doi:10.1126/science.aax0848.
  • Baumann, M., Radeloff, V.C., Avedian, V., & Kuemmerle, T. (2015). Land-use change in the Caucasus during and after the Nagorno-Karabakh conflict. Regional Environmental Change. 15:1703–1716. doi 10.1007/s10113-014-0728-3.
  • Bayramov, E., Buchroithner, M., & Bayramov, R. (2016). Quantitative assessment of 2014–2015 land-cover changes in Azerbaijan using object-based classification of LANDSAT-8 timeseries. Modeling Earth Systems and Environment. 2:35. doi 10.1007/s40808-016-0088-8.
  • Bayramov, E., Schlager, P., Kada, M., Buchroithner, M., & Bayramov, R. (2019). Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the land cover classes of the Southern Caucasus using GIS and remote sensing. Modeling Earth Systems and Environment. 5:659-667.
  • 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.
  • Buchner, J., Yin, H., Frantz, D., Kuemmerle, T., Askerov, E., Bakuradze, T., & et al. (2020). Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites. Remote Sensing of Environment. 248: 111967.
  • CE (2024). Open Foris Collect Earth Web Site. https://openforis.org/tools/collect-earth/, Accessed: 05.01.2024. FAO (2001). State of World’s Forests 2001. https://www.fao.org/3/y0900e/y0900e00.htm#TopOfPage, Accessed: 02.01.2024.
  • Gallaun, H., Zanchi, G., Nabuurs, G.J., Hengeveld, G., Schardt, M., & Verkerk, P.J. (2010). EU-wide maps of growing stock and above-ground biomass in forests based on remote sensing and field measurements. Forest Ecology and Management. 260, 252–261. doi:10.1016/j.foreco.2009.10.011.
  • Gambarova, Y.M., Gambarov, A.Y., Rustamov, R.B., & Zeynalova, M.H. (2010). Remote sensing and GIS as an advance space technologies for rare vegetation monitoring in Gobustan State National Park, Azerbaijan. Journal of Geographic Information System. 2, 93-99. doi:10.4236/jgis.2010.22014.
  • Gambarova, Y.M., Gambarov, A.Y. (2016). Rare vegetation degradation within “buffer zones” in Gobustan State National Park, Azerbaijan. Journal of Earth Science & Climatic Change. 7, 344. doi:10.4172/2157-7617.1000344.
  • García-Montero, L.G. (2015). Project “Collecting Data Through Collect Earth Tools on Southern Europe Dryland Zones in the Context of Global Forest Survey Project (GFS)”. In the Framework of the FAO Project GCP/GL0/553/GER (BMU) Global Forest Survey (GFS), Universidad Politécnica de Madrid, Madrid, Spain.
  • 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
  • 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.
  • 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 on-line from: https://glad.earthengine.app/view/global-forest-change.
  • IPCC (2003). Good Practice Guidance for Land Use, Land-Use Change and Forestry. https://www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_files/GPG_LULUCF_FULL.pdf, Accessed: 02.01.2024.
  • IPCC (2006). IPCC Guidelines for National Greenhouse Gas Inventories. https://www.ipcc.ch/report/2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/, Accessed: 02.01.2024.
  • Khadka, A., Dhungana, M., Khanal, S., & Kharal, D.K. (2020). Forest and other land cover assessment in Nepal using Collect Earth. Banko Janakari. Vol 30 No. 1, 3‒11. https://doi.org/10.3126/banko.v30i1.29176.
  • Koskinen, J., Leinonen, U., Vollrath, A., Ortmann, A., Lindquist, E., d'Annunzio, R., & et al. (2019). Participatory mapping of forest plantations with Open Foris and Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing. 148, 63–74. https://doi.org/10.1016/j.isprsjprs.2018.12.011.
  • 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. doi: 10.3390/rs61111372.
  • 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.
  • Mammadov, E., Nowosad, J., & Glaesser, C. (2021). Estimation and mapping of surface soil properties in the Caucasus Mountains, Azerbaijan using high-resolution remote sensing data. Geoderma Regional. 26, e00411. https://doi.org/10.1016/j.geodrs.2021.e00411.
  • Mamedaliyeva, V. (2021). Algorithm and measurement of forest cover area change in the Khachmaz region of Azerbaijan by satellite monitoring. Forest Journal. Vol. 2, pp. 106-15. doi:10.37482/0536-1036-2021-2-106-115.
  • 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.
  • Martín-Ortega, P., García-Montero, L., Pascual, C., García-Robredo, F., Picard, N., Bastin, J.F. & et al. (2017). Global drylands assessment using collect earth tools and opportunities for forest restoration results in the Mediterranean region. 5th Mediterranean Forest Week, pp. 256-266, Agadir.
  • 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. doi:10.3390/rs4041024.
  • Melo, J., Baker, T., Nemitz, D., Quegan, S., & Ziv, G. (2023). Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC. Environmental Research Letters. 18 034021.
  • Narmin, A. (2022). Monitoring of forest landscape of Shamakhi district on the basis of remote sensing methods. Journal of Baku Engineering University - Chemistry and Biology. Volume 6, Number 1, pp. 65-72.
  • 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. doi:10.3390/f8090302.
  • 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.
  • 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.
  • 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.

Collect Earth ile Bölgesel Arazi Kullanımı Değerlendirmesi: Azerbaycan’ın Ağdaş ve Kah Vaka Çalışmaları

Year 2024, Volume: 10 Issue: 3, 14 - 29, 28.12.2024
https://doi.org/10.58626/menba.1464894

Abstract

Periyodik arazi kullanımı ve arazi kullanımı değişikliği değerlendirmeleri, etkili arazi kullanımı planlaması ve yönetimi için son derece doğru veri oluşturmak amacıyla tüm arazi kullanım kategorilerini ve alt kategorilerdeki toplam alanı ve zaman içindeki değişiklikleri izlemektedir. Collect Earth, zaman içinde arazi kullanım kategorilerindeki arazi kullanım eğilimlerini izlemek için ücretsiz erişimli bir yazılımdır. Çalışma, Azerbaycan'ın Ağdaş ve Kah bölgelerindeki orman ve diğer arazi kullanımlarındaki alan değişimini rapor ederek, Google Earth platformundaki çok yüksek mekansal ve zamansal çözünürlüklü uydu görüntülerinin görsel yorumlayarak 2.543 adet 0,5 hektarlık örnekle noktayı analiz etmiştir. Ağdaş’da ormanlık alanların yaklaşık 7.037 ha veya toplam bölge alanının %6,9'u olduğu hesaplanmış ve ormanlar 2000 yılından bu yana %1,3 oranında azalmıştır. Buna karşılık, meralar yaklaşık % 2.07 oranında artmıştır. Ağaç örtüsü Ağdaş’ın sadece %20,9'unda bulunur ve toplam 21.296 ha’dır. Ağaç örtüsünün %67’sinden fazlası diğer arazi kullanım kategorilerinde bulunmaktadır. Çalışma, sel, yangın, kaçak ağaç kesimi ve otlatma gibi tahribata neden olan olayları tespit etmeyi başarmıştır ve Ağdaş'ta nehir erozyonu, yüzeyi akışı erozyonu ve toprak kaymalarına dair kanıtlar bulmuştur. Kah ormanlarının yaklaşık 41.662 hektar veya toplam bölge alanının % 28'i olduğu hesaplanmıştır. 2000 yılından bu yana Kah'taki ormanlık alanlarda, diğer arazilerde, sulak alanlarda veya yerleşim yerlerinde arazi kullanımında herhangi bir değişiklik gözlenmezken, 104 hektar mera tarım arazisine dönüştürülmüştür. Ağaçlar toplam arazinin % 49,3'ünde bulunur, bu da 73.508 hektara eşittir. Toplam ağaç örtüsünün yaklaşık %56,7'si ormanlık alanlarda, %43,3'ü ise orman dışındaki arazilerde bulunmaktadır. Araştırma, kaçak ağaç kesimi, yangın ve otlatma gibi tahribata neden olan olayları tespit etti ve Gakh'ta rüzgar, nehir, kıyı, yağış erozyonuna ve toprak kaymasına ilişkin işaretler tespit etmiştir.

References

  • Abiyev, Y., Karsli, F., Gumus, S., & Seyfullayev, F. (2020). Analysis of the forest covers dynamics in the Samur-Yalama National Park of Azerbaijan. European Journal of Forest Engineering. 6(1): 23-30. https://doi.org/10.33904/ejfe.724022.
  • Asam, S., Da Ponte, E., Köstl, T., Wuttej, D., Abbasov, S., & Köppler, M. (2019). Mapping grassland extent and degradation in Azerbaijan. ESA Living Planet Symposium, 13-17 May 2019, Mailand, Italy.
  • Ateşoğlu, A., Bulut, F.Ş., & Mandacı, C. (2023). Collect Earth Yöntemi Kullanılarak Yukarı Sakarya Havzasının Arazi Kullanım/Örtü Değişimlerinin (2000-2020) İzlenmesi ve Değerlendirmesi. Journal of Bartin Faculty of Forestry, 2023, 25(3): 434 – 443, doi: 10.24011/barofd.1333672.
  • Bassullu, C., Martín-Ortega, P. (2023). Using Open Foris Collect Earth in Kyrgyzstan to support greenhouse gas inventory in the land use, land use change, and forestry sector. Environmental Monitoring and Assessment. 195, 977. https://doi.org/10.1007/s10661-023-11591-1.
  • Bassullu, C., Martín-Ortega, P. (2024). Field validation of countrywide remote sensing based-land use classification in Kyrgyzstan. Ormancılık Araştırma Dergisi, 11(2), 206-223. https://doi.org/10.17568/ogmoad.1533789.
  • Bassullu, C., Sanchez-Paus Díaz, A. (2023). Open Foris Collect Earth: a remote sensing sampling survey of Azerbaijan to support climate change reporting in the land use, land use change, and forestry. Environ Monit Assess 195, 1236. https://doi.org/10.1007/s10661-023-11870-x.
  • 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.
  • Bastin, J.F., Finegold, Y., Garcia, C., Mollicone, D., Rezende, M., Routh, D., & et al. (2019). The global tree restoration potential. Science. 365, 76–79. doi:10.1126/science.aax0848.
  • Baumann, M., Radeloff, V.C., Avedian, V., & Kuemmerle, T. (2015). Land-use change in the Caucasus during and after the Nagorno-Karabakh conflict. Regional Environmental Change. 15:1703–1716. doi 10.1007/s10113-014-0728-3.
  • Bayramov, E., Buchroithner, M., & Bayramov, R. (2016). Quantitative assessment of 2014–2015 land-cover changes in Azerbaijan using object-based classification of LANDSAT-8 timeseries. Modeling Earth Systems and Environment. 2:35. doi 10.1007/s40808-016-0088-8.
  • Bayramov, E., Schlager, P., Kada, M., Buchroithner, M., & Bayramov, R. (2019). Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the land cover classes of the Southern Caucasus using GIS and remote sensing. Modeling Earth Systems and Environment. 5:659-667.
  • 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.
  • Buchner, J., Yin, H., Frantz, D., Kuemmerle, T., Askerov, E., Bakuradze, T., & et al. (2020). Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites. Remote Sensing of Environment. 248: 111967.
  • CE (2024). Open Foris Collect Earth Web Site. https://openforis.org/tools/collect-earth/, Accessed: 05.01.2024. FAO (2001). State of World’s Forests 2001. https://www.fao.org/3/y0900e/y0900e00.htm#TopOfPage, Accessed: 02.01.2024.
  • Gallaun, H., Zanchi, G., Nabuurs, G.J., Hengeveld, G., Schardt, M., & Verkerk, P.J. (2010). EU-wide maps of growing stock and above-ground biomass in forests based on remote sensing and field measurements. Forest Ecology and Management. 260, 252–261. doi:10.1016/j.foreco.2009.10.011.
  • Gambarova, Y.M., Gambarov, A.Y., Rustamov, R.B., & Zeynalova, M.H. (2010). Remote sensing and GIS as an advance space technologies for rare vegetation monitoring in Gobustan State National Park, Azerbaijan. Journal of Geographic Information System. 2, 93-99. doi:10.4236/jgis.2010.22014.
  • Gambarova, Y.M., Gambarov, A.Y. (2016). Rare vegetation degradation within “buffer zones” in Gobustan State National Park, Azerbaijan. Journal of Earth Science & Climatic Change. 7, 344. doi:10.4172/2157-7617.1000344.
  • García-Montero, L.G. (2015). Project “Collecting Data Through Collect Earth Tools on Southern Europe Dryland Zones in the Context of Global Forest Survey Project (GFS)”. In the Framework of the FAO Project GCP/GL0/553/GER (BMU) Global Forest Survey (GFS), Universidad Politécnica de Madrid, Madrid, Spain.
  • 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
  • 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.
  • 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 on-line from: https://glad.earthengine.app/view/global-forest-change.
  • IPCC (2003). Good Practice Guidance for Land Use, Land-Use Change and Forestry. https://www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_files/GPG_LULUCF_FULL.pdf, Accessed: 02.01.2024.
  • IPCC (2006). IPCC Guidelines for National Greenhouse Gas Inventories. https://www.ipcc.ch/report/2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/, Accessed: 02.01.2024.
  • Khadka, A., Dhungana, M., Khanal, S., & Kharal, D.K. (2020). Forest and other land cover assessment in Nepal using Collect Earth. Banko Janakari. Vol 30 No. 1, 3‒11. https://doi.org/10.3126/banko.v30i1.29176.
  • Koskinen, J., Leinonen, U., Vollrath, A., Ortmann, A., Lindquist, E., d'Annunzio, R., & et al. (2019). Participatory mapping of forest plantations with Open Foris and Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing. 148, 63–74. https://doi.org/10.1016/j.isprsjprs.2018.12.011.
  • 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. doi: 10.3390/rs61111372.
  • 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.
  • Mammadov, E., Nowosad, J., & Glaesser, C. (2021). Estimation and mapping of surface soil properties in the Caucasus Mountains, Azerbaijan using high-resolution remote sensing data. Geoderma Regional. 26, e00411. https://doi.org/10.1016/j.geodrs.2021.e00411.
  • Mamedaliyeva, V. (2021). Algorithm and measurement of forest cover area change in the Khachmaz region of Azerbaijan by satellite monitoring. Forest Journal. Vol. 2, pp. 106-15. doi:10.37482/0536-1036-2021-2-106-115.
  • 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.
  • Martín-Ortega, P., García-Montero, L., Pascual, C., García-Robredo, F., Picard, N., Bastin, J.F. & et al. (2017). Global drylands assessment using collect earth tools and opportunities for forest restoration results in the Mediterranean region. 5th Mediterranean Forest Week, pp. 256-266, Agadir.
  • 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. doi:10.3390/rs4041024.
  • Melo, J., Baker, T., Nemitz, D., Quegan, S., & Ziv, G. (2023). Satellite-based global maps are rarely used in forest reference levels submitted to the UNFCCC. Environmental Research Letters. 18 034021.
  • Narmin, A. (2022). Monitoring of forest landscape of Shamakhi district on the basis of remote sensing methods. Journal of Baku Engineering University - Chemistry and Biology. Volume 6, Number 1, pp. 65-72.
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There are 40 citations in total.

Details

Primary Language English
Subjects Remote Sensing , Climate Change Science (Other)
Journal Section Araştırmalar
Authors

Çağlar Başsüllü 0000-0002-6065-5805

Publication Date December 28, 2024
Submission Date April 4, 2024
Acceptance Date August 20, 2024
Published in Issue Year 2024 Volume: 10 Issue: 3

Cite

APA Başsüllü, Ç. (2024). A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi, 10(3), 14-29. https://doi.org/10.58626/menba.1464894
AMA Başsüllü Ç. A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi. December 2024;10(3):14-29. doi:10.58626/menba.1464894
Chicago Başsüllü, Çağlar. “A Regional Land Use Assessment With Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan”. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi 10, no. 3 (December 2024): 14-29. https://doi.org/10.58626/menba.1464894.
EndNote Başsüllü Ç (December 1, 2024) A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi 10 3 14–29.
IEEE Ç. Başsüllü, “A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan”, Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi, vol. 10, no. 3, pp. 14–29, 2024, doi: 10.58626/menba.1464894.
ISNAD Başsüllü, Çağlar. “A Regional Land Use Assessment With Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan”. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi 10/3 (December 2024), 14-29. https://doi.org/10.58626/menba.1464894.
JAMA Başsüllü Ç. A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi. 2024;10:14–29.
MLA Başsüllü, Çağlar. “A Regional Land Use Assessment With Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan”. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi, vol. 10, no. 3, 2024, pp. 14-29, doi:10.58626/menba.1464894.
Vancouver Başsüllü Ç. A Regional Land Use Assessment with Collect Earth: Case Studies of Agdash and Gakh, Azerbaijan. Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi. 2024;10(3):14-29.