Works matching DE "FOREST mapping"
Results: 934
Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?
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- Geoscientific Model Development, 2025, v. 18, n. 2, p. 337, doi. 10.5194/gmd-18-337-2025
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Large-scale forest stand height mapping in the northeastern U.S. and China using L-band spaceborne repeat-pass InSAR and GEDI LiDAR data.
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- Earth System Science Data Discussions, 2025, p. 1, doi. 10.5194/essd-2024-596
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Collaborative Mapping of Sacred Forests in Southern Ethiopia: Canopies Harboring Conflict Landscapes?
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- African Archaeological Review, 2020, v. 37, n. 1, p. 143, doi. 10.1007/s10437-019-09353-x
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Patch‐based nonlocal estimation of scattering mechanism vector in PolInSAR.
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- Electronics Letters (Wiley-Blackwell), 2023, v. 59, n. 9, p. 1, doi. 10.1049/ell2.12782
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WHY TRADITIONAL LEADERS SUCCEED IN FIGHTING INDIGENOUS FOREST?: THE CASE OF DATUK SINARO PUTIH TRADITIONAL COMMUNITY.
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- Journal of Positive School Psychology, 2022, v. 6, n. 2, p. 1150
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MAPPING OF DEFORESTATION AND FOREST DEGRADATION ASSOCIATED WITH RESPONSIBLE DRIVERS IN THE MAN RIVER BASIN, CENTRAL INDIA.
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- Geodesy & Cartography, 2022, v. 48, n. 4, p. 218, doi. 10.3846/gac.2022.14951
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Forest Cover and Dengue in Costa Rica: Panel Data Analysis of the Effects of Forest Cover Change on Hospital Admissions and Outbreaks.
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- Environmental & Resource Economics, 2024, v. 87, n. 8, p. 2095, doi. 10.1007/s10640-024-00853-2
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Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA.
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- Landscape Ecology, 2001, v. 16, n. 6, p. 523, doi. 10.1023/A:1013167712622
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支原体生殖道感染妇女阴道微生态改变对临床转归的影响 及 XGboost 模型构建 .
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- Progress in Modern Biomedicine, 2023, v. 23, n. 3, p. 324, doi. 10.13241/j.cnki.pmb.2023.02.023
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支原体生殖道感染妇女阴道微生态改变对临床转归的影响 及 XGboost 模型构建.
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- Progress in Modern Biomedicine, 2023, v. 23, n. 2, p. 324, doi. 10.13241/j.cnki.pmb.2023.02.023
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Comparison of length and dynamics of wood pieces in streams covered with coniferous and broadleaf forests mapped using orthophotos acquired by an unmanned aerial vehicle.
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- Progress in Earth & Planetary Science, 2021, v. 8, n. 1, p. 1, doi. 10.1186/s40645-021-00419-6
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پایش و برآورد وسعت مناطق گرفتار حریق بخشی از کوهستان زاگرس با استفاده از تصاویر ماهوارهای لندست.
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- Geography & Environmental Planning, 2022, v. 33, n. 4, p. 49, doi. 10.22108/gep.2022.131560.1470
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Calculating coniferous tree coverage using unmanned aerial vehicle photogrammetry.
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- Journal of Ecology & Environment, 2017, v. 41, p. 1, doi. 10.1186/s41610-017-0029-0
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A multi-data ensemble approach for predicting woodland type distribution: Oak woodland in Britain.
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- Ecology & Evolution (20457758), 2021, p. 9423, doi. 10.1002/ece3.7752
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Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping.
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- Ecology & Evolution (20457758), 2018, v. 8, n. 13, p. 6728, doi. 10.1002/ece3.4176
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A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data.
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- Scientifica, 2017, p. 1, doi. 10.1155/2017/9806479
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Accuracy assessment of land cover products in China from 2000 to 2020.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-39963-0
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Modeling stand biomass for Moso bamboo forests in Eastern China.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1186250
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Mapping forest and site quality of planted Chinese fir forest using sentinel images.
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- Frontiers in Plant Science, 2022, v. 13, p. 01, doi. 10.3389/fpls.2022.949598
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Effectiveness of Natura 2000 system for habitat types protection: A case study from the Czech Republic.
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- Nature Conservation, 2018, n. 24, p. 21, doi. 10.3897/natureconservation.24.21608
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Türkiye ve Avrupa Ülkeleri Orman yangınlarının Bazı Değişkenler Açısından Değerlendirilmesi.
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- Journal of Social Sciences Research / Sosyal Bilimler Arastirmalari Dergisi, 2022, v. 12, n. 1, p. 1, doi. 10.48146/odusobiad.1013462
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New record of Polygonatum multiflorum in Hyrcanian forests, north of Iran.
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- Feddes Repertorium, 2022, v. 133, n. 2, p. 148, doi. 10.1002/fedr.202100021
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Forest edge effect on biomass carbon along altitudinal gradients in Chinese Fir (Cunninghamia lanceolata): A study from Southeastern China.
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- Carbon Management, 2019, v. 10, n. 1, p. 11, doi. 10.1080/17583004.2018.1537517
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Improving pantropical forest carbon maps with airborne LiDAR sampling.
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- Carbon Management, 2013, v. 4, n. 6, p. 591, doi. 10.4155/cmt.13.66
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A Simple and Effective Random Forest Refit to Map the Spatial Distribution of NO 2 Concentrations.
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- Atmosphere, 2022, v. 13, n. 11, p. 1832, doi. 10.3390/atmos13111832
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Analysis of landslide susceptibility and potential impacts on infrastructures and settlement areas (a case from the southeastern region of Türkiye).
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- Environmental Earth Sciences, 2024, v. 83, n. 10, p. 1, doi. 10.1007/s12665-024-11601-6
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Multi-resource potentiality and multi-hazard susceptibility assessments of the central west coast of India applying machine learning and geospatial techniques.
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- Environmental Earth Sciences, 2023, v. 82, n. 9, p. 1, doi. 10.1007/s12665-023-10901-7
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Composition and structure of spruce forests of the southwestern part of Moscow region.
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- Contemporary Problems of Ecology, 2016, v. 9, n. 7, p. 820, doi. 10.1134/S1995425516070039
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MODELLING OF FOREST FIRE RISK SPATIAL DISTRIBUTION IN THE REGION OF AURES, ALGERIA.
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- Geoadria, 2019, v. 24, n. 2, p. 79, doi. 10.15291/geoadria.2846
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Mapping the probability of forest snow disturbances in Finland.
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- PLoS ONE, 2021, v. 16, n. 7, p. 1, doi. 10.1371/journal.pone.0254876
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Forest fire occurrence modeling in Southwest Turkey using MaxEnt machine learning technique.
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- iForest - Biogeosciences & Forestry, 2024, v. 17, n. 1, p. 10, doi. 10.3832/ifor4321-016
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Are we ready for a National Forest Information System? State of the art of forest maps and airborne laser scanning data availability in Italy.
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- iForest - Biogeosciences & Forestry, 2021, v. 14, n. 2, p. 144, doi. 10.3832/ifor3648-014
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Classification and mapping of Spanish Mediterranean mixed forests.
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- iForest - Biogeosciences & Forestry, 2019, v. 12, n. 5, p. 480, doi. 10.3832/ifor2817-012
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Three-dimensional forest stand height map production utilizing airborne laser scanning dense point clouds and precise quality evaluation.
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- iForest - Biogeosciences & Forestry, 2017, v. 10, n. 2, p. 491, doi. 10.3832/ifor2039-010
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Comparing multisource harmonized forest types mapping: a case study from central Italy.
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- iForest - Biogeosciences & Forestry, 2015, v. 8, n. 1, p. 59, doi. 10.3832/ifor1133-007
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Integration of forest mapping and inventory to support forest management.
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- iForest - Biogeosciences & Forestry, 2010, v. 3, p. 59, doi. 10.3832/ifor0531-003
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An Examination of Five Identical Mapping-Grade Global Positioning System Receivers in Two Forest Settings.
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- Western Journal of Applied Forestry, 2011, v. 26, n. 3, p. 119, doi. 10.1093/wjaf/26.3.119
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Normalization of medium-resolution NDVI by the use of coarser reference data: method and evaluation.
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- International Journal of Remote Sensing, 2014, v. 35, n. 21, p. 7400, doi. 10.1080/01431161.2014.968684
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Object-based classification using SPOT-5 imagery for Moso bamboo forest mapping.
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- International Journal of Remote Sensing, 2014, v. 35, n. 3, p. 1126, doi. 10.1080/01431161.2013.875634
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What makes segmentation good? A case study in boreal forest habitat mapping.
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- International Journal of Remote Sensing, 2013, v. 34, n. 23, p. 8603, doi. 10.1080/01431161.2013.845318
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Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies.
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- International Journal of Remote Sensing, 2013, v. 34, n. 11, p. 4049, doi. 10.1080/01431161.2013.772311
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Pine plantation structure mapping using WorldView-2 multispectral image.
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- International Journal of Remote Sensing, 2013, v. 34, n. 11, p. 3986, doi. 10.1080/01431161.2013.772308
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Tropical forest mapping using a combination of optical and microwave data of ALOS.
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- International Journal of Remote Sensing, 2013, v. 34, n. 1, p. 139, doi. 10.1080/01431161.2012.709329
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Historical tropical successional forest cover mapped with Landsat MSS imagery.
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- International Journal of Remote Sensing, 2012, v. 33, n. 24, p. 7902, doi. 10.1080/01431161.2012.703344
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Geo-referencing of continental-scale JERS-1 SAR mosaics based on matching homologous features with a digital elevation model: theory and practice.
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- International Journal of Remote Sensing, 2012, v. 33, n. 8, p. 2413, doi. 10.1080/01431161.2011.609843
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Speckle reduction for the forest mapping analysis of multi-temporal Radarsat-1 images.
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- International Journal of Remote Sensing, 2012, v. 33, n. 5, p. 1349, doi. 10.1080/01431161.2011.568530
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Maintaining the confidentiality of plot locations by exploiting the low sensitivity of forest structure models to different spectral extraction kernels.
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- International Journal of Remote Sensing, 2011, v. 32, n. 1, p. 287, doi. 10.1080/01431160903464120
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Forest fire monitoring and burnt area mapping using satellite data: a study over the forest region of Kerala State, India.
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- International Journal of Remote Sensing, 2011, v. 32, n. 1, p. 85, doi. 10.1080/01431160903439890
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Image fusion for enhanced forest structural assessment.
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- International Journal of Remote Sensing, 2011, v. 32, n. 1, p. 243, doi. 10.1080/01431160903463684
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Quantifying scaling effects on satellite-derived forest area estimates for the conterminous USA.
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- International Journal of Remote Sensing, 2009, v. 30, n. 12, p. 3097, doi. 10.1080/01431160802558741
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