{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T07:59:21Z","timestamp":1782287961805,"version":"3.54.5"},"reference-count":52,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2014,8,27]],"date-time":"2014-08-27T00:00:00Z","timestamp":1409097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the past, different approaches for automated landslide identification based on multispectral satellite remote sensing were developed to focus on the analysis of the spatial distribution of landslide occurrences related to distinct triggering events. However, many regions, including southern Kyrgyzstan, experience ongoing process activity requiring continual multi-temporal analysis. For this purpose, an automated object-oriented landslide mapping approach has been developed based on RapidEye time series data complemented by relief information. The approach builds on analyzing temporal NDVI-trajectories for the separation between landslide-related surface changes and other land cover changes. To accommodate the variety of landslide phenomena occurring in the 7500 km2 study area, a combination of pixel-based multiple thresholds and object-oriented analysis has been implemented including the discrimination of uncertainty-related landslide likelihood classes. Applying the approach to the whole study area for the time period between 2009 and 2013 has resulted in the multi-temporal identification of 471 landslide objects. A quantitative accuracy assessment for two independent validation sites has revealed overall high mapping accuracy (Quality Percentage: 80%), proving the suitability of the developed approach for efficient spatiotemporal landslide mapping over large areas, representing an important prerequisite for objective landslide hazard and risk assessment at the regional scale.<\/jats:p>","DOI":"10.3390\/rs6098026","type":"journal-article","created":{"date-parts":[[2014,8,27]],"date-time":"2014-08-27T09:52:39Z","timestamp":1409133159000},"page":"8026-8055","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":113,"title":["Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data"],"prefix":"10.3390","volume":"6","author":[{"given":"Robert","family":"Behling","sequence":"first","affiliation":[{"name":"GFZ German Research Centre for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sigrid","family":"Roessner","sequence":"additional","affiliation":[{"name":"GFZ German Research Centre for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hermann","family":"Kaufmann","sequence":"additional","affiliation":[{"name":"GFZ German Research Centre for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Birgit","family":"Kleinschmit","sequence":"additional","affiliation":[{"name":"Geoinformation in Environmental Planning Lab, Department of Landscape Architecture and Environmental Planning, TU Berlin, Stra\u00dfe des 17. Juni 145, D-10623 Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,8,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Sassa, K., and Canuti, P. (2009). Economic and social impacts of landslides. Landslides\u2014Disaster Risk Reduction, Springer.","DOI":"10.1007\/978-3-540-69970-5"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s10346-006-0036-1","article-title":"Global landslide and avalanche hotspots","volume":"3","author":"Nadim","year":"2006","journal-title":"Landslides"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1130\/G33217.1","article-title":"Global patterns of loss of life from landslides","volume":"40","author":"Petley","year":"2012","journal-title":"Geology"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.enggeo.2008.03.010","article-title":"Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview","volume":"102","author":"Castellanos","year":"2008","journal-title":"Eng. Geol"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.enggeo.2008.03.016","article-title":"Applicability of landslide susceptibility and hazard zoning at different scales","volume":"102","author":"Cascini","year":"2008","journal-title":"Eng. Geol"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.earscirev.2012.02.001","article-title":"Landslide inventory maps: New tools for an old problem","volume":"112","author":"Guzzetti","year":"2012","journal-title":"Earth-Sci. Rev"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10346-011-0267-7","article-title":"Medium-scale hazard mapping for shallow landslide initiation: The Buyukkoy catchment area (Cayeli, Rize, Turkey)","volume":"8","author":"Nefeslioglu","year":"2011","journal-title":"Landslides"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1007\/s12665-009-0245-8","article-title":"Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models","volume":"60","author":"Pradhan","year":"2010","journal-title":"Environ. Earth Sci"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/S0013-7952(02)00201-6","article-title":"Seventeen years of the \u201cLa Clapiere\u201d landslide evolution analysed from ortho-rectified aerial photographs","volume":"68","author":"Casson","year":"2003","journal-title":"Eng. Geol"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1007\/s002679910020","article-title":"Comparing landslide maps: A case study in the Upper Tiber River basin, central Italy","volume":"25","author":"Guzzetti","year":"2000","journal-title":"Environ. Manag"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.geomorph.2011.01.013","article-title":"Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images","volume":"129","author":"Fiorucci","year":"2011","journal-title":"Geomorphology"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.geomorph.2010.07.026","article-title":"Spatiotemporal landslide detection for the 2005 Kashmir earthquake region","volume":"124","author":"Saba","year":"2010","journal-title":"Geomorphology"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11069-004-1799-0","article-title":"Potential of satellite remote sensing and GIS for landslide hazard assessment in Southern Kyrgyzstan (Central Asia)","volume":"35","author":"Roessner","year":"2005","journal-title":"Nat. Hazards"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.rse.2005.08.004","article-title":"Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments","volume":"98","author":"Metternicht","year":"2005","journal-title":"Remote Sens. Environ"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.3390\/rs5052389","article-title":"Automatic Extraction and size distribution of landslides in Kurdistan Region, NE Iraq","volume":"5","author":"Othman","year":"2013","journal-title":"Remote Sens"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1002\/esp.1858","article-title":"Analysis of historical landslide time series in the Emilia-Romagna region, northern Italy","volume":"35","author":"Rossi","year":"2010","journal-title":"Earth Surf. Process. Landf"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1007\/s12665-012-2181-2","article-title":"Landslide temporal analysis and susceptibility assessment as bases for landslide mitigation, Machu Picchu, Peru","volume":"70","year":"2013","journal-title":"Environ. Earth Sci"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.5194\/nhess-13-2353-2013","article-title":"Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan","volume":"13","author":"Wu","year":"2013","journal-title":"Nat. Hazards Earth Syst. Sci"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.enggeo.2011.07.001","article-title":"Evaluating triggering and causative factors of landslides in Lawnon River Basin, Taiwan","volume":"123","author":"Weng","year":"2011","journal-title":"Eng. Geol"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"687","DOI":"10.14358\/PERS.72.6.687","article-title":"High spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes","volume":"72","author":"Barlow","year":"2006","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1843","DOI":"10.1080\/01431160600935638","article-title":"Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery","volume":"28","author":"Borghuis","year":"2007","journal-title":"Int. J. Remote Sens"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.cageo.2011.05.010","article-title":"Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey)","volume":"38","author":"Aksoy","year":"2012","journal-title":"Comput. Geosci"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.geomorph.2013.06.015","article-title":"Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data","volume":"201","author":"Mondini","year":"2013","journal-title":"Geomorphology"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/S0273-1177(03)00471-X","article-title":"Locating landslides using multi-temporal satellite images","volume":"33","author":"Cheng","year":"2004","journal-title":"Adv. Space Res"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1913","DOI":"10.1080\/01431160512331314047","article-title":"Satellite remote sensing for detailed landslide inventories using change detection and image fusion","volume":"26","author":"Nichol","year":"2005","journal-title":"Int. J. Remote Sens"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1080\/01431160512331330481","article-title":"Remote sensing image thresholding methods for determining landslide activity","volume":"26","author":"Rosin","year":"2005","journal-title":"Int. J. Remote Sens"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.1016\/j.rse.2011.03.006","article-title":"Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images","volume":"115","author":"Mondini","year":"2011","journal-title":"Remote Sens. Environ"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2590","DOI":"10.3390\/rs5062590","article-title":"Supervised method of landslide inventory using panchromatic SPOT5 images and application to the earthquake-triggered landslides of Pisco (Peru, 2007 Mw8.0)","volume":"5","author":"Lacroix","year":"2013","journal-title":"Remote Sens"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.isprsjprs.2011.11.004","article-title":"Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories","volume":"67","author":"Martha","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.geomorph.2012.12.001","article-title":"Landslide hazard and risk assessment using semi-automatically created landslide inventories","volume":"184","author":"Martha","year":"2013","journal-title":"Geomorphology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2179","DOI":"10.5194\/nhess-10-2179-2010","article-title":"Post-disaster assessment of landslides in southern Taiwan after 2009 Typhoon Morakot using remote sensing and spatial analysis","volume":"10","author":"Tsai","year":"2010","journal-title":"Nat. Hazards Earth Syst. Sci"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1080\/01431160701227661","article-title":"Quantitative assessment of landslide susceptibility using high-resolution remote sensing data and a generalized additive model","volume":"29","author":"Park","year":"2008","journal-title":"Int. J. Remote Sens"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.geomorph.2009.10.004","article-title":"Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods","volume":"116","author":"Martha","year":"2010","journal-title":"Geomorphology"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2564","DOI":"10.1016\/j.rse.2011.05.013","article-title":"Object-oriented mapping of landslides using random forests","volume":"115","author":"Stumpf","year":"2011","journal-title":"Remote Sens. Environ"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1109\/LGRS.2010.2101045","article-title":"Object-oriented change detection for landslide rapid mapping","volume":"8","author":"Lu","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2492","DOI":"10.1109\/TGRS.2013.2262052","article-title":"Active learning in the spatial domain for remote sensing image classification","volume":"52","author":"Stumpf","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.isprsjprs.2013.11.003","article-title":"Hierarchical extraction of landslides from multiresolution remotely sensed optical images","volume":"87","author":"Kurtz","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"5905","DOI":"10.1080\/01431161.2013.798877","article-title":"Radiometric and geometric assessment of data from the RapidEye constellation of satellites","volume":"34","author":"Chander","year":"2013","journal-title":"Int. J. Remote Sens"},{"key":"ref_39","unstructured":"Ibatulin, K.V. (2011). Monitoring of Landslides in Kyrgyzstan, Ministry of Emergency Situations of the Kyrgyz Republic."},{"key":"ref_40","unstructured":"Kalmetieva, Z.A., Mikolaichuk, A.V., Moldobekov, B.D., Meleshko, A.V., Jantaev, M.M., and Zubovich, A.V. (2009). Atlas of Earthquakes in Kyrgyzstan, CAIAG."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Sassa, K., Canuti, P., and Yin, Y. (2014). GIS-based integration of heterogeneous data for a multi-temporal landslide inventory. Landslide Science for a Safer Geoenvironment, Springer.","DOI":"10.1007\/978-3-319-05050-8"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/S0924-2716(02)00124-7","article-title":"The shuttle radar topography mission\u2014A new class of digital elevation models acquired by spaceborne radar","volume":"57","author":"Rabus","year":"2003","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.1080\/0143116031000101675","article-title":"Digital change detection methods in ecosystem monitoring: A review","volume":"25","author":"Coppin","year":"2004","journal-title":"Int. J. Remote Sens"},{"key":"ref_44","first-page":"273","article-title":"Land-use and land-cover change detection","volume":"7","author":"Weng","year":"2010","journal-title":"Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2572","DOI":"10.3390\/rs6032572","article-title":"Robust automated image co-registration of optical multi-sensor time series data: Database generation for multi-temporal landslide detection","volume":"6","author":"Behling","year":"2014","journal-title":"Remote Sens"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"941","DOI":"10.14358\/PERS.75.8.941","article-title":"The Land-cover Change Mapper (LCM) and its application to timber harvest monitoring in western Canada","volume":"75","author":"Castilla","year":"2009","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1130\/0016-7606(1952)63[1117:HAAOET]2.0.CO;2","article-title":"Hypsometric (area-altitude) analysis of erosional topography","volume":"63","author":"Strahler","year":"1952","journal-title":"Geol. Soc. Am. Bull"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Burger, W., and Burge, M.J. (2009). Principles of Digital Image Processing: Core Algorithms, Springer.","DOI":"10.1007\/978-1-84800-195-4"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"143","DOI":"10.14358\/PERS.69.2.143","article-title":"Class-guided building extraction from Ikonos imagery","volume":"69","author":"Lee","year":"2003","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1109\/TGRS.2013.2250293","article-title":"Semiautomatic object-oriented landslide recognition scheme from multisensor optical imagery and DEM","volume":"52","author":"Rau","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"510","DOI":"10.5589\/m03-018","article-title":"Detecting translational landslide scars using segmentation of Landsat ETM+ and DEM data in the northern Cascade Mountains, British Columbia","volume":"29","author":"Barlow","year":"2003","journal-title":"Can. J. Remote Sens"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2011.11.026","article-title":"Sentinel-2: ESA\u2019s optical high-resolution mission for GMES operational services","volume":"120","author":"Drusch","year":"2012","journal-title":"Remote Sens. Environ"}],"updated-by":[{"DOI":"10.3390\/rs70100666","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2014,8,27]],"date-time":"2014-08-27T00:00:00Z","timestamp":1409097600000}}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/9\/8026\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T06:56:53Z","timestamp":1754290613000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/9\/8026"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,27]]},"references-count":52,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2014,9]]}},"alternative-id":["rs6098026"],"URL":"https:\/\/doi.org\/10.3390\/rs6098026","relation":{"correction":[{"id-type":"doi","id":"10.3390\/rs70100666","asserted-by":"object"}]},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,27]]}}}