Works matching DE "VEGETATION monitoring"
Results: 1306
Analyzing landscape changes and their relationship with land surface temperature and vegetation indices using remote sensing and AI techniques.
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- Geoscience Letters, 2025, v. 12, n. 1, p. 1, doi. 10.1186/s40562-024-00372-4
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Diversity in Burned Pinyon–Juniper Woodlands Across Fire and Soil Parent Material Gradients.
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- Diversity (14242818), 2025, v. 17, n. 2, p. 88, doi. 10.3390/d17020088
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Changes in Vegetation Structure after Long-term Grazing in Pinyon-Juniper Ecosystems: Integrating Imaging Spectroscopy and Field Studies.
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- Ecosystems, 2003, v. 6, n. 4, p. 368, doi. 10.1007/s10021-003-0168-2
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Utilizing the vegetation health index to assess agricultural drought in the Constantine Region of Algeria.
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- Journal of Design for Resilience in Architecture & Planning, 2024, v. 5, n. 2, p. 287, doi. 10.47818/DRArch.2024.v5i2132
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Using Prescribed Fire and Biosolids Applications as Grassland Management Tools: Do Wildlife Respond?
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- Fire (2571-6255), 2024, v. 7, n. 4, p. 112, doi. 10.3390/fire7040112
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Optimizing Drone-Based Surface Models for Prescribed Fire Monitoring.
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- Fire (2571-6255), 2023, v. 6, n. 11, p. 419, doi. 10.3390/fire6110419
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Assessment of Spectral Vegetation Indices Performance for Post-Fire Monitoring of Different Forest Environments.
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- Fire (2571-6255), 2023, v. 6, n. 8, p. 290, doi. 10.3390/fire6080290
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Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data.
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- Fire (2571-6255), 2022, v. 5, n. 6, p. 211, doi. 10.3390/fire5060211
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基于Landsat 的三江源区植被覆盖时空变化分析.
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- Yellow River, 2018, v. 40, n. 7, p. 73, doi. 10.3969/j.issn.1000-1379.2018.07.015
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Soil microbial characteristics at the monitoring plots on windthrow areas of the Tatra National Park (Slovakia): their assessment as environmental indicators.
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- Environmental Monitoring & Assessment, 2011, v. 174, n. 1-4, p. 31, doi. 10.1007/s10661-010-1755-2
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Riparian vegetation assessment of Cauvery River Basin of South India.
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- Environmental Monitoring & Assessment, 2010, v. 170, n. 1-4, p. 545, doi. 10.1007/s10661-009-1256-3
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Monitoring deterioration of vegetation cover in the vicinity of smelting industry, using statistical methods and TM and ETM<sup>+</sup> imageries, Sarcheshmeh copper complex, Central Iran.
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- Environmental Monitoring & Assessment, 2010, v. 163, n. 1-4, p. 397, doi. 10.1007/s10661-009-0843-7
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Strategic noise map of a major road carried out with two environmental prediction software packages.
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- Environmental Monitoring & Assessment, 2010, v. 163, n. 1-4, p. 503, doi. 10.1007/s10661-009-0853-5
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The effects of land use change on environmental quality in the red soil hilly region, China: A case study in Xianning County.
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- Environmental Monitoring & Assessment, 2009, v. 150, n. 1-4, p. 295, doi. 10.1007/s10661-008-0231-8
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Conservation Priorities and Population Structure of Woody Medicinal Plants in an Area of Caatinga Vegetation (Pernambuco State, NE Brazil).
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- Environmental Monitoring & Assessment, 2007, v. 132, n. 1-3, p. 189, doi. 10.1007/s10661-006-9528-7
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Spatial Distribution of Forest Fires and Controlling Factors in Andhra Pradesh, India Using Spot Satellite Datasets.
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- Environmental Monitoring & Assessment, 2006, v. 123, n. 1-3, p. 75, doi. 10.1007/s10661-005-9122-4
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Field Surveys of Ozone Symptoms on Spontaneous Vegetation. Limitations and Potentialities of the European Programme.
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- Environmental Monitoring & Assessment, 2006, v. 115, n. 1-3, p. 335, doi. 10.1007/s10661-006-6558-0
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Using NDVI to Assess Vegetative Land Cover Change in Central Puget Sound.
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- Environmental Monitoring & Assessment, 2006, v. 114, n. 1-3, p. 85, doi. 10.1007/s10661-006-1679-z
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A Comparison of Three Methods to Collect Submerged Aquatic Vegetation in a Shallow Lake.
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- Environmental Monitoring & Assessment, 2005, v. 110, n. 1-3, p. 87, doi. 10.1007/s10661-005-6338-2
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OZONE EXPOSURES AND IMPLICATIONS FOR VEGETATION IN RURAL AREAS OF THE CENTRAL APPALACHIAN MOUNTAINS, U.S.A.
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- Environmental Monitoring & Assessment, 2004, v. 98, n. 1-3, p. 157, doi. 10.1023/B:EMAS.0000038184.65332.f6
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Application of Ecological Classification and Predictive Vegetation Modeling to Broad-Level Assessments of Ecosystem Health.
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- Environmental Monitoring & Assessment, 2000, v. 64, n. 1, p. 197, doi. 10.1023/A:1006479926454
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New Vegetation Monitoring Field Tools Improve Plot Demarcation Consistency.
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- Natural Areas Journal, 2023, v. 43, n. 1, p. 83, doi. 10.3375/21-47
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Twenty Years of Tallgrass Prairie Reconstruction and Restoration at Pawnee Prairie Natural Area, Missouri.
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- Natural Areas Journal, 2020, v. 40, n. 1, p. 62, doi. 10.3375/043.040.0108
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Vegetation Monitoring to Guide Management Decisions in Miami's Urban Pine Rockland Preserves.
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- Natural Areas Journal, 2014, v. 34, n. 2, p. 154, doi. 10.3375/043.034.0205
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Resampling Issues Associated with Calcareous Glade Monitoring Transects Established in 1993.
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- Natural Areas Journal, 2011, v. 31, n. 2, p. 173, doi. 10.3375/043.031.0210
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Monitoring Change in a Central U.S. Calcareous Glade: Resampling Transects Established in 1993.
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- Natural Areas Journal, 2011, v. 31, n. 2, p. 163, doi. 10.3375/043.031.0209
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Using unmanned aerial vehicle multispectral data for monitoring the outcomes of ecological restoration in mining areas.
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- Land Degradation & Development, 2024, v. 35, n. 4, p. 1599, doi. 10.1002/ldr.5010
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Remotely sensed vegetation greening along a restoration gradient of a tropical forest, Kibale National Park, Uganda.
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- Land Degradation & Development, 2021, v. 32, n. 18, p. 5166, doi. 10.1002/ldr.4096
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Characterising spatiotemporal vegetation variations using LANDSAT time‐series and Hurst exponent index in the Mekong River Delta.
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- Land Degradation & Development, 2021, v. 32, n. 13, p. 3507, doi. 10.1002/ldr.3934
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Temporal heterogeneity has no effect on the direction of succession in abandoned croplands in a semiarid area of northwest China.
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- Land Degradation & Development, 2021, v. 32, n. 1, p. 91, doi. 10.1002/ldr.3780
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Effects of vegetation rehabilitation on soil organic and inorganic carbon stocks in the Mu Us Desert, northwest China.
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- Land Degradation & Development, 2018, v. 29, n. 4, p. 1031, doi. 10.1002/ldr.2832
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Restoration of Open‐Cut Mining in Semi‐Arid Systems: A Synthesis of Long‐Term Monitoring Data and Implications for Management.
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- Land Degradation & Development, 2018, v. 29, n. 4, p. 994, doi. 10.1002/ldr.2746
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Habitat management interventions for a specialist mid- successional grassland butterfly, the Lulworth Skipper.
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- Journal of Insect Conservation, 2025, v. 29, n. 1, p. 1, doi. 10.1007/s10841-024-00638-4
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Charophyte diversity and their habitat conservation perspectives: insights from vegetation versus sediments survey of a small pond in Serbia.
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- Biodiversity & Conservation, 2024, v. 33, n. 4, p. 1413, doi. 10.1007/s10531-024-02808-x
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A comparison of methods for estimating plant population size.
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- Biodiversity & Conservation, 2018, v. 27, n. 8, p. 2021, doi. 10.1007/s10531-018-1522-1
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Human impact on tropical-alpine plant diversity in the northern Andes.
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- Biodiversity & Conservation, 2015, v. 24, n. 11, p. 2673, doi. 10.1007/s10531-015-0954-0
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USING REMOTE SENSING IN LAND RECLAMATION MONITORING IN EGYPT.
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- Arab Water Council Journal, 2019, v. 10, n. 2, p. 40
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Fast grassland recovery from viable propagules after reintroducing traditional mowing management on a steep slope.
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- PeerJ, 2024, p. 1, doi. 10.7717/peerj.17487
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Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery.
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- PeerJ, 2022, p. 1, doi. 10.7717/peerj.14219
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Does the landscape functionality approach provide insight into rangeland conditions in the Tanqua Karoo region, South Africa?
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- PeerJ, 2022, p. 1, doi. 10.7717/peerj.13305
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Examining the assumptions of heterogeneity-based management for promoting plant diversity in a disturbance-prone ecosystem.
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- PeerJ, 2019, p. 1, doi. 10.7717/peerj.6738
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Analysing the vegetation of energy plants by processing UAV images.
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- Annales Mathematicae et Informaticae, 2020, v. 52, p. 183, doi. 10.33039/ami.2020.01.001
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Floristic quality assessment for marshes in Alberta's northern prairie and boreal regions.
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- Aquatic Ecosystem Health & Management, 2013, v. 16, n. 3, p. 288, doi. 10.1080/14634988.2013.825194
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Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data.
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- Scientific Data, 2025, v. 12, n. 1, p. 1, doi. 10.1038/s41597-025-04497-9
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An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product.
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- Scientific Data, 2025, v. 12, n. 1, p. 1, doi. 10.1038/s41597-024-04325-6
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Global L-band equivalent AI-based vegetation optical depth dataset.
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- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03810-2
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The 30 m vegetation maps from 1990 to 2020 in the Tibetan Plateau.
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- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03649-7
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Automated generation of consistent annual maximum NDVI on coal bases with a new algorithm.
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- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03543-2
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Ozone-Induced Stipple on Plants in the Cape Romain National Wildlife Refuge, South Carolina.
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- Southeastern Naturalist, 2009, v. 8, n. 3, p. 471, doi. 10.1656/058.008.0308
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基于植被二向性反射统一模型的高分五号 FAPAR遥感反演算法.
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- Journal of Remote Sensing, 2023, v. 27, n. 3, p. 711, doi. 10.11834/jrs.20210097
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