Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data
出版年份 2015 全文链接
标题
Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data
作者
关键词
-
出版物
Remote Sensing
Volume 7, Issue 5, Pages 6041-6058
出版商
MDPI AG
发表日期
2015-05-15
DOI
10.3390/rs70506041
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- (2015) Ingmar Nitze et al. International Journal of Applied Earth Observation and Geoinformation
- Hyperspectral Data Dimensionality Reduction and the Impact of Multi-seasonal Hyperion EO-1 Imagery on Classification Accuracies of Tropical Forest Species
- (2014) Manjit Saini et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Landsat-8: Science and product vision for terrestrial global change research
- (2014) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Intensive rubber cultivation degrades soil nematode communities in Xishuangbanna, southwest China
- (2014) Hai F. Xiao et al. SOIL BIOLOGY & BIOCHEMISTRY
- Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance
- (2014) Muhammad Hasan Ali Baig et al. Remote Sensing Letters
- Rubber plantation and its relationship with topographical factors in the border region of China, Laos and Myanmar
- (2013) Xiaona Liu et al. Journal of Geographical Sciences
- Pixel-based Minnaert Correction Method for Reducing Topographic Effects on a Landsat 7 ETM+ Image
- (2013) Hongli Ge et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Neural Network Classification of Mangrove Species from Multi-seasonal Ikonos Imagery
- (2013) Le Wang et al. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
- Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data
- (2013) Qinchuan Xin et al. REMOTE SENSING OF ENVIRONMENT
- Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
- (2013) Jinwei Dong et al. REMOTE SENSING OF ENVIRONMENT
- Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series
- (2013) Cornelius Senf et al. Remote Sensing
- Landscape transformation through the use of ecological and socioeconomic indicators in Xishuangbanna, Southwest China, Mekong Region
- (2012) Jianchu Xu et al. ECOLOGICAL INDICATORS
- Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery
- (2012) Jinwei Dong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- The effect of Landsat ETM/ETM+ image acquisition dates on the detection of agricultural land abandonment in Eastern Europe
- (2012) Alexander V. Prishchepov et al. REMOTE SENSING OF ENVIRONMENT
- Rubber plantations act as water pumps in tropical China
- (2011) Zheng-Hong Tan et al. GEOPHYSICAL RESEARCH LETTERS
- Object-based cloud and cloud shadow detection in Landsat imagery
- (2011) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Integrating Mahalanobis typicalities with a neural network for rubber distribution mapping
- (2011) Zhe Li et al. Remote Sensing Letters
- Hydrologic effects of the expansion of rubber (Hevea brasiliensis) in a tropical catchment
- (2010) Maite Guardiola-Claramonte et al. Ecohydrology
- Smallholder rubber plantation expansion and its impact on local livelihoods, land use and agrobiodiversity, a case study from Daka, Xishuangbanna, southwestern China
- (2010) Yongneng Fu et al. INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
- The Rubber Juggernaut
- (2009) A. D. Ziegler et al. SCIENCE
- Past, present and future land-use in Xishuangbanna, China and the implications for carbon dynamics
- (2008) Hongmei Li et al. FOREST ECOLOGY AND MANAGEMENT
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