标题
Near-real time forest change detection using PlanetScope imagery
作者
关键词
-
出版物
European Journal of Remote Sensing
Volume -, Issue -, Pages 1-12
出版商
Informa UK Limited
发表日期
2020-09-29
DOI
10.1080/22797254.2020.1806734
参考文献
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- (2019) Nicholas Leach et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm
- (2018) Yongjun Yang et al. JOURNAL OF CLEANER PRODUCTION
- Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
- (2018) Johannes Reiche et al. REMOTE SENSING OF ENVIRONMENT
- Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data
- (2018) Joanne C. White et al. REMOTE SENSING OF ENVIRONMENT
- A LandTrendr multispectral ensemble for forest disturbance detection
- (2018) Warren B. Cohen et al. REMOTE SENSING OF ENVIRONMENT
- A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series
- (2017) Joanne C. White et al. REMOTE SENSING OF ENVIRONMENT
- Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review
- (2017) Manuela Hirschmugl et al. Current Forestry Reports
- A flexible spatiotemporal method for fusing satellite images with different resolutions
- (2016) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring Deforestation at Sub-Annual Scales as Extreme Events in Landsat Data Cubes
- (2016) Eliakim Hamunyela et al. Remote Sensing
- Reconstructing historical forest cover change in the Lower Amazon floodplains using the LandTrendr algorithm
- (2016) Everton Hafemann FRAGAL et al. ACTA AMAZONICA
- Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics
- (2015) Txomin Hermosilla et al. REMOTE SENSING OF ENVIRONMENT
- A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
- (2015) Caroline M. Gevaert et al. REMOTE SENSING OF ENVIRONMENT
- Alerts of forest disturbance from MODIS imagery
- (2014) Dan Hammer et al. International Journal of Applied Earth Observation and Geoinformation
- Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes
- (2014) Bo Huang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Good practices for estimating area and assessing accuracy of land change
- (2014) Pontus Olofsson et al. REMOTE SENSING OF ENVIRONMENT
- Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data
- (2013) Qinchuan Xin et al. REMOTE SENSING OF ENVIRONMENT
- High-Resolution Global Maps of 21st-Century Forest Cover Change
- (2013) M. C. Hansen et al. SCIENCE
- An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model
- (2013) Dongjie Fu et al. Remote Sensing
- Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning
- (2012) Huihui Song et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model
- (2012) Zheng Niu Journal of Applied Remote Sensing
- A review of large area monitoring of land cover change using Landsat data
- (2012) Matthew C. Hansen et al. REMOTE SENSING OF ENVIRONMENT
- Synergies of multiple remote sensing data sources for REDD+ monitoring
- (2012) Veronique De Sy et al. Current Opinion in Environmental Sustainability
- On the Use of Dual-Polarized C-Band Radar for Operational Rainfall Retrieval in Mountainous Areas
- (2011) Gianfranco Vulpiani et al. Journal of Applied Meteorology and Climatology
- Large-scale monitoring of coppice forest clearcuts by multitemporal very high resolution satellite imagery. A case study from central Italy
- (2011) Gherardo Chirici et al. REMOTE SENSING OF ENVIRONMENT
- A comparison of time series similarity measures for classification and change detection of ecosystem dynamics
- (2011) S. Lhermitte et al. REMOTE SENSING OF ENVIRONMENT
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
- (2010) Robert E. Kennedy et al. REMOTE SENSING OF ENVIRONMENT
- An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
- (2010) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
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