Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review

Abstract: Deforestation and fragmentation threaten biodiversity owing to their impacts on many species. To prevent and minimise the problem, protected areas have been created with the aim of conserving biodiversity, and parts of continental territories have been designated for this purpose. However,...

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Autores:
Miranda-Castro, Wendy
Acevedo-Barrios, Rosa
Guerrero, Milton
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12390
Acceso en línea:
https://hdl.handle.net/20.500.12585/12390
Palabra clave:
Landsat;
Land Cover;
Remote Sensing
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
title Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
spellingShingle Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
Landsat;
Land Cover;
Remote Sensing
LEMB
title_short Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
title_full Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
title_fullStr Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
title_full_unstemmed Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
title_sort Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review
dc.creator.fl_str_mv Miranda-Castro, Wendy
Acevedo-Barrios, Rosa
Guerrero, Milton
dc.contributor.author.none.fl_str_mv Miranda-Castro, Wendy
Acevedo-Barrios, Rosa
Guerrero, Milton
dc.subject.keywords.spa.fl_str_mv Landsat;
Land Cover;
Remote Sensing
topic Landsat;
Land Cover;
Remote Sensing
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description Abstract: Deforestation and fragmentation threaten biodiversity owing to their impacts on many species. To prevent and minimise the problem, protected areas have been created with the aim of conserving biodiversity, and parts of continental territories have been designated for this purpose. However, these areas are not exempt from forest loss and can be directly and indirectly disturbed by surrounding territories, natural disasters, climate, and human actions. In addition, the management quality of many protected areas is unknown. Thus, forest change detection using remote sensing data has been implemented as an approach to assess forest loss in conservation areas, since it generates spatio-temporal information about the protected forest area, which can then be used to improve forest management and decision making. This article reviews the approaches that have been implemented to study forest changes in protected areas. © 2022, Pleiades Publishing, Ltd.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-07-21T20:50:03Z
dc.date.available.none.fl_str_mv 2023-07-21T20:50:03Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv Miranda-Castro, W., Acevedo-Barrios, R., & Guerrero, M. (2022). Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review. Contemporary Problems of Ecology, 15(6), 717-729.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12390
dc.identifier.doi.none.fl_str_mv 10.1134/S1995425522060154
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Miranda-Castro, W., Acevedo-Barrios, R., & Guerrero, M. (2022). Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review. Contemporary Problems of Ecology, 15(6), 717-729.
10.1134/S1995425522060154
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12390
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 12 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Contemporary Problems of Ecology
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spelling Miranda-Castro, Wendy42268df0-ad55-478f-ba40-62bdc92ac36bAcevedo-Barrios, Rosabcae3c53-60bb-47b1-bf6b-2a314645eb75Guerrero, Miltonc80b7cda-6df3-4f54-8c72-aee9b85392832023-07-21T20:50:03Z2023-07-21T20:50:03Z20222023Miranda-Castro, W., Acevedo-Barrios, R., & Guerrero, M. (2022). Monitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Review. Contemporary Problems of Ecology, 15(6), 717-729.https://hdl.handle.net/20.500.12585/1239010.1134/S1995425522060154Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarAbstract: Deforestation and fragmentation threaten biodiversity owing to their impacts on many species. To prevent and minimise the problem, protected areas have been created with the aim of conserving biodiversity, and parts of continental territories have been designated for this purpose. However, these areas are not exempt from forest loss and can be directly and indirectly disturbed by surrounding territories, natural disasters, climate, and human actions. In addition, the management quality of many protected areas is unknown. Thus, forest change detection using remote sensing data has been implemented as an approach to assess forest loss in conservation areas, since it generates spatio-temporal information about the protected forest area, which can then be used to improve forest management and decision making. This article reviews the approaches that have been implemented to study forest changes in protected areas. © 2022, Pleiades Publishing, Ltd.12 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Contemporary Problems of EcologyMonitoring Conservation of Forest in Protected Areas using Remote Sensing Change Detection Approach: a Reviewinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Landsat;Land Cover;Remote SensingLEMBCartagena de IndiasAdhikari, S., Southworth, J., Nagendra, H. Understanding forest loss and recovery: a spatiotemporal analysis of land change in and around Bannerghatta National Park, India (2015) Journal of Land Use Science, 10 (4), pp. 402-424. Cited 17 times. http://www.tandf.co.uk/journals/titles/1747423x.asp doi: 10.1080/1747423X.2014.920425Bayarsaikhan, U., Boldgiv, B., Kim, K.-R., Park, K.-A., Lee, D. Change detection and classification of land cover at Hustai National Park in Mongolia (2009) International Journal of Applied Earth Observation and Geoinformation, 11 (4), pp. 273-280. Cited 56 times. http://www.elsevier.com/locate/jag doi: 10.1016/j.jag.2009.03.004Borrelli, P., Modugno, S., Panagos, P., Marchetti, M., Schütt, B., Montanarella, L. Detection of harvested forest areas in Italy using Landsat imagery (2014) Applied Geography, 48, pp. 102-111. Cited 25 times. doi: 10.1016/j.apgeog.2014.01.005Boutin, S., Haughland, D.L., Schieck, J., Herbers, J., Bayne, E. A new approach to forest biodiversity monitoring in Canada (2009) Forest Ecology and Management, 258 (SUPPL.), pp. S168-S175. Cited 39 times. doi: 10.1016/j.foreco.2009.08.024Carlson, M., Browne, D., Callaghan, C. Application of land-use simulation to protected area selection for efficient avoidance of biodiversity loss in Canada's western boreal region (2019) Land Use Policy, 82, pp. 821-831. Cited 13 times. www.elsevier.com/inca/publications/store/3/0/4/5/1/ doi: 10.1016/j.landusepol.2019.01.015Craigie, I.D., Baillie, J.E.M., Balmford, A., Carbone, C., Collen, B., Green, R.E., Hutton, J.M. Large mammal population declines in Africa's protected areas (Open Access) (2010) Biological Conservation, 143 (9), pp. 2221-2228. Cited 471 times. doi: 10.1016/j.biocon.2010.06.007Curtis, P.G., Slay, C.M., Harris, N.L., Tyukavina, A., Hansen, M.C. Classifying drivers of global forest loss (2018) Science, 361 (6407), pp. 1108-1111. Cited 954 times. http://science.sciencemag.org/content/361/6407/1108/tab-pdf doi: 10.1126/science.aau3445Da Ponte, E., Roch, M., Leinenkugel, P., Dech, S., Kuenzer, C. Paraguay's Atlantic Forest cover loss – Satellite-based change detection and fragmentation analysis between 2003 and 2013 (2017) Applied Geography, 79, pp. 37-49. Cited 35 times. http://www.elsevier.com/inca/publications/store/3/0/3/9/0/index.htt doi: 10.1016/j.apgeog.2016.12.005Desrochers, A., Tardif, J., Mazerolle, M.J. Use of large clear-cuts by Wilson's Warbler in an eastern Canadian boreal forest (2012) Avian Conservation and Ecology, 7 (2). Cited 4 times. http://www.ace-eco.org/vol7/iss2/art1/ACE-ECO-2012-521.pdf doi: 10.5751/ACE-00521-070201Dutta, K., Sudhakar Reddy, C., Sharma, S., Jha, C.S. Quantification and monitoring of forest cover changes in Agasthyamalai Biosphere Reserve, Western Ghats, India (1920-2012) (Open Access) (2016) Current Science, 110 (4), pp. 508-520. Cited 17 times. http://www.currentscience.ac.in/Volumes/110/04/0508.pdf doi: 10.18520/cs/v110/i4/508-520Finlayson, C.M., Milton, G.R., Prenctice, R.C., Davidson, N.C. The Wetland Book II: Distribution, description, and conservation (2018) The Wetland Book II: Distribution, Description, and Conservation, 1-3, pp. 1-2142. Cited 21 times. https://www.springer.com/in/book/9789400740006 ISBN: 978-940074001-3; 978-940074000-6 doi: 10.1007/978-94-007-4001-3Gao, T., Hedblom, M., Emilsson, T., Nielsen, A.B. The role of forest stand structure as biodiversity indicator (2014) Forest Ecology and Management, 330, pp. 82-93. Cited 101 times. www.elsevier.com/inca/publications/store/5/0/3/3/1/0 doi: 10.1016/j.foreco.2014.07.007Geldmann, J., Barnes, M., Coad, L., Craigie, I.D., Hockings, M., Burgess, N.D. Effectiveness of terrestrial protected areas in reducing habitat loss and population declines (Open Access) (2013) Biological Conservation, 161, pp. 230-238. Cited 580 times. doi: 10.1016/j.biocon.2013.02.018Ghofrani, Z., Mokhtarzade, M., Reza Sahebi, M., Beykikhoshk, A. Evaluating coverage changes in national parks using a hybrid change detection algorithm and remote sensing (Open Access) (2014) Journal of Applied Remote Sensing, 8 (1), art. no. 083646. Cited 12 times. http://www.spie.org/x3636.xml doi: 10.1117/1.JRS.8.083646Gilani, H., Shrestha, H.L., Murthy, M.S.R., Phuntso, P., Pradhan, S., Bajracharya, B., Shrestha, B. Decadal land cover change dynamics in Bhutan (2015) Journal of Environmental Management, 148, pp. 91-100. Cited 71 times. http://www.elsevier.com/inca/publications/store/6/2/2/8/7/1/index.htt doi: 10.1016/j.jenvman.2014.02.014Gitelson, A.A., Merzlyak, M.N. Signature analysis of leaf reflectance spectra: Algorithm development for remote sensing of chlorophyll (1996) Journal of Plant Physiology, 148 (3-4), pp. 494-500. Cited 629 times. www.urbanfischer.de/journals/jpp/p_physio.htm doi: 10.1016/S0176-1617(96)80284-7Gómez, C., White, J.C., Wulder, M.A. Optical remotely sensed time series data for land cover classification: A review (2016) ISPRS Journal of Photogrammetry and Remote Sensing, 116, pp. 55-72. Cited 732 times. www.elsevier.com/inca/publications/store/5/0/3/3/4/0 doi: 10.1016/j.isprsjprs.2016.03.008Griffiths, P., Kuemmerle, T., Baumann, M., Radeloff, V.C., Abrudan, I.V., Lieskovsky, J., Munteanu, C., (...), Hostert, P. Forest disturbances, forest recovery, and changes in forest types across the carpathian ecoregion from 1985 to 2010 based on landsat image composites (2014) Remote Sensing of Environment, 151, pp. 72-88. Cited 232 times. www.elsevier.com/inca/publications/store/5/0/5/7/3/3 doi: 10.1016/j.rse.2013.04.022Halaj, J., Ross, D.W., Moldenke, A.R. Importance of habitat structure to the arthropod food-web in Douglas-fir canopies (Open Access) (2000) Oikos, 90 (1), pp. 139-152. Cited 197 times. http://www3.interscience.wiley.com/journal/118531693/home doi: 10.1034/j.1600-0706.2000.900114.xHe, K.S., Rocchini, D., Neteler, M., Nagendra, H. Benefits of hyperspectral remote sensing for tracking plant invasions (2011) Diversity and Distributions, 17 (3), pp. 381-392. Cited 173 times. doi: 10.1111/j.1472-4642.2011.00761.xHooper, D.U., Adair, E.C., Cardinale, B.J., Byrnes, J.E.K., Hungate, B.A., Matulich, K.L., Gonzalez, A., (...), Connor, M.I. A global synthesis reveals biodiversity loss as a major driver of ecosystem change (2012) Nature, 486 (7401), pp. 105-108. Cited 1551 times. doi: 10.1038/nature11118Huang, C., Kim, S., Altstatt, A., Townshend, J.R.G., Davis, P., Song, K., Tucker, C.J., (...), Musinsky, J. Rapid loss of Paraguay's Atlantic forest and the status of protected areas - A Landsat assessment (2007) Remote Sensing of Environment, 106 (4), pp. 460-466. Cited 136 times. doi: 10.1016/j.rse.2006.09.016 View at PublisherIslam, K., Jashimuddin, M., Nath, B., Nath, T.K. Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh (2018) Egyptian Journal of Remote Sensing and Space Science, 21 (1), pp. 37-47. Cited 164 times. http://www.elsevier.com/wps/find/journaldescription.cws_home/723780/description#description doi: 10.1016/j.ejrs.2016.12.005Jackson, B., Decker Sparks, J.L., Brown, C., Boyd, D.S. Understanding the co-occurrence of tree loss and modern slavery to improve efficacy of conservation actions and policies (Open Access) (2020) Conservation Science and Practice, 2 (5), art. no. e183. Cited 7 times. conbio.onlinelibrary.wiley.com/journal/25784854 doi: 10.1111/csp2.183Jayanthi, M., Thirumurthy, S., Nagaraj, G., Muralidhar, M., Ravichandran, P. Spatial and temporal changes in mangrove cover across the protected and unprotected forests of India (2018) Estuarine, Coastal and Shelf Science, 213, pp. 81-91. Cited 33 times. http://www.elsevier.com/inca/publications/store/6/2/2/8/2/3/index.htt doi: 10.1016/j.ecss.2018.08.016Jones, K.R., Venter, O., Fuller, R.A., Allan, J.R., Maxwell, S.L., Negret, P.J., Watson, J.E.M. One-third of global protected land is under intense human pressure (Open Access) (2018) Science, 360 (6390), pp. 788-791. Cited 458 times. http://science.sciencemag.org/content/360/6390/788/tab-pdf doi: 10.1126/science.aap9565Joseph, S., Blackburn, G.A., Gharai, B., Sudhakar, S., Thomas, A.P., Murthy, M.S.R. Monitoring conservation effectiveness in a global biodiversity hotspot: The contribution of land cover change assessment (Open Access) (2009) Environmental Monitoring and Assessment, 158 (1-4), pp. 169-179. Cited 30 times. doi: 10.1007/s10661-008-0571-4Jung, H.-C., Lee, D.-K., Jeon, S.-W., Song, W.-K. Analysis of deforestation patterns in the Baekdudaegan preservation area using land cover classification and change detection techniques; the feasibility of restoration (2005) Landscape Ecol. Eng, 1, pp. 177-190. Cited 7 times.Kamlun, K.U., Bürger Arndt, R., Phua, M.-H. Monitoring deforestation in Malaysia between 1985 and 2013: Insight from South-Western Sabah and its protected peat swamp area (Open Access) (2016) Land Use Policy, 57, pp. 418-430. Cited 29 times. www.elsevier.com/inca/publications/store/3/0/4/5/1/ doi: 10.1016/j.landusepol.2016.06.011Karlson, M., Ostwald, M. Remote sensing of vegetation in the Sudano-Sahelian zone: A literature review from 1975 to 2014 (Open Access) (2016) Journal of Arid Environments, 124, pp. 257-269. Cited 41 times. http://www.journals.elsevier.com/journal-of-arid-environments/ doi: 10.1016/j.jaridenv.2015.08.022Kintz, D.B., Young, K.R., Crews-Meyer, K.A. Implications of land use/land cover change in the buffer zone of a National Park in the tropical Andes (Open Access) (2006) Environmental Management, 38 (2), pp. 238-252. Cited 67 times. doi: 10.1007/s00267-005-0147-9Lamba, A., Cassey, P., Segaran, R.R., Koh, L.P. Deep learning for environmental conservation (2019) Current Biology, 29 (19), pp. R977-R982. Cited 45 times. http://www.elsevier.com/journals/current-biology/0960-9822 doi: 10.1016/j.cub.2019.08.016Li, Y., Peng, C., Chen, Y., Jiao, L., Zhou, L., Shang, R. A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images (2019) IEEE Transactions on Geoscience and Remote Sensing, 57 (8), art. no. 8673805, pp. 5751-5763. Cited 109 times. https://ieeexplore.ieee.org/servlet/opac?punumber=36 doi: 10.1109/TGRS.2019.2901945Liu, J., Linderman, M., Ouyang, Z., An, L., Yang, J., Zhang, H. Ecological degradation in protected areas: The case of Wolong nature reserve for giant pandas (2001) Science, 292 (5514), pp. 98-101. Cited 573 times. doi: 10.1126/science.1058104Lossou, E., Owusu-Prempeh, N., Agyemang, G. Monitoring Land Cover changes in the tropical high forests using multi-temporal remote sensing and spatial analysis techniques (2019) Remote Sensing Applications: Society and Environment, 16, art. no. 100264. Cited 18 times. http://www.journals.elsevier.com/remote-sensing-applications-society-and-environment/ doi: 10.1016/j.rsase.2019.100264Lu, D., Mausel, P., Brondízio, E., Moran, E. Change detection techniques (2004) International Journal of Remote Sensing, 25 (12), pp. 2365-2401. Cited 2249 times. https://www.tandfonline.com/loi/tres20 doi: 10.1080/0143116031000139863Main-Knorn, M., Cohen, W.B., Kennedy, R.E., Grodzki, W., Pflugmacher, D., Griffiths, P., Hostert, P. Monitoring coniferous forest biomass change using a Landsat trajectory-based approach (Open Access) (2013) Remote Sensing of Environment, 139, pp. 277-290. Cited 96 times. doi: 10.1016/j.rse.2013.08.010Marinelli, D., Paris, C., Bruzzone, L. An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data (Open Access) (2019) IEEE Geoscience and Remote Sensing Letters, 16 (11), art. no. 8698891, pp. 1771-1775. Cited 9 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8859 doi: 10.1109/LGRS.2019.2908314Meliadis, I., Platis, P., Ainalis, A., Meliadis, M. Monitoring and analysis of natural vegetation in a Special Protected Area of Mountain Antichasia-Meteora, central Greece (2010) Environmental Monitoring and Assessment, 163 (1-4), pp. 455-465. Cited 7 times. doi: 10.1007/s10661-009-0849-1Morand, S., Lajaunie, C. Outbreaks of Vector-Borne and Zoonotic Diseases Are Associated With Changes in Forest Cover and Oil Palm Expansion at Global Scale (2021) Frontiers in Veterinary Science, 8, art. no. 661063. Cited 58 times. journal.frontiersin.org/journal/veterinary-science doi: 10.3389/fvets.2021.661063Mugagga, F., Kakembo, V., Buyinza, M. Land use changes on the slopes of Mount Elgon and the implications for the occurrence of landslides (2012) Catena, 90, pp. 39-46. Cited 111 times. doi: 10.1016/j.catena.2011.11.004Mutanga, O., Adam, E., Cho, M.A. High density biomass estimation for wetland vegetation using worldview-2 imagery and random forest regression algorithm (Open Access) (2012) International Journal of Applied Earth Observation and Geoinformation, 18 (1), pp. 399-406. Cited 625 times. http://www.elsevier.com/locate/jag doi: 10.1016/j.jag.2012.03.012Nagelkerken, I., Blaber, S.J.M., Bouillon, S., Green, P., Haywood, M., Kirton, L.G., Meynecke, J.-O., (...), Somerfield, P.J. The habitat function of mangroves for terrestrial and marine fauna: A review (Open Access) (2008) Aquatic Botany, 89 (2), pp. 155-185. Cited 948 times. doi: 10.1016/j.aquabot.2007.12.007Nagendra, H., Lucas, R., Honrado, J.P., Jongman, R.H.G., Tarantino, C., Adamo, M., Mairota, P. Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats (Open Access) (2013) Ecological Indicators, 33, pp. 45-59. Cited 420 times. http://www.elsevier.com/locate/ecolind doi: 10.1016/j.ecolind.2012.09.014Noordermeer, L., Økseter, R., Ole Ørka, H., Gobakken, T., Næsset, E., Bollandsås, O.M. Classifications of forest change by using bitemporal airborne laser scanner data (2019) Remote Sensing, 11 (18), art. no. 2145. Cited 14 times. https://res.mdpi.com/d_attachment/remotesensing/remotesensing-11-02145/article_deploy/remotesensing-11-02145.pdf doi: 10.3390/rs11182145O'Connell, C., Keppel, G. Deep tree hollows: Important refuges from extreme temperatures (Open Access) (2016) Wildlife Biology, 22 (6), pp. 305-310. Cited 25 times. doi: 10.2981/wlb.00210Okyay, U., Telling, J., Glennie, C.L., Dietrich, W.E. Airborne lidar change detection: An overview of Earth sciences applications (2019) Earth-Science Reviews, 198, art. no. 102929. Cited 56 times. http://www.sciencedirect.com/science/journal/00128252 doi: 10.1016/j.earscirev.2019.102929Olofsson, P., Foody, G.M., Stehman, S.V., Woodcock, C.E. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation (2013) Remote Sensing of Environment, 129, pp. 122-131. Cited 651 times. doi: 10.1016/j.rse.2012.10.031Olofsson, P., Foody, G.M., Herold, M., Stehman, S.V., Woodcock, C.E., Wulder, M.A. Good practices for estimating area and assessing accuracy of land change (2014) Remote Sensing of Environment, 148, pp. 42-57. 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