Mapping Deforestation in North Korea Using Phenology-Based Multi-Index and Random Forest

Mapping riparian habitat using a combination ofremote-sensing techniques

(2016) Seung Gyu Jeong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Optical remotely sensed time series data for land cover classification: A review

(2016) Cristina Gómez et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A simple method for developing near real-time nationwide forest monitoring for Indonesia using MODIS near- and shortwave infrared bands

(2016) Yudi Setiawan et al.   Remote Sensing Letters

Land cover mapping based on random forest classification of multitemporal spectral and thermal images

(2015) Vahid Eisavi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments

(2015) Yingbin Deng et al.   International Journal of Applied Earth Observation and Geoinformation

Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

(2014) Elhadi Adam et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Relative Contributions of the Logging, Fiber, Oil Palm, and Mining Industries to Forest Loss in Indonesia

(2014) Sinan A. Abood et al.   Conservation Letters

Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

(2014) Congcong Li et al.   Remote Sensing

Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture

(2014) Jun Zhang et al.   Remote Sensing

Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts

(2013) Yanbin Jiang et al.   ECOLOGICAL INDICATORS

An Operational Framework for Defining and Monitoring Forest Degradation

(2013) Ian D. Thompson et al.   ECOLOGY AND SOCIETY

Improving the Accuracy of Vegetation Classifications in Mountainous Areas

(2013) Maite Gartzia et al.   MOUNTAIN RESEARCH AND DEVELOPMENT

Estimating deforestation in tropical humid and dry forests in Madagascar from 2000 to 2010 using multi-date Landsat satellite images and the random forests classifier

(2013) Clovis Grinand et al.   REMOTE SENSING OF ENVIRONMENT

Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping

(2013) Qiong Hu et al.   Remote Sensing

Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon

(2013) Carlos Souza et al.   Remote Sensing

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

Stratified sampling for feature subspace selection in random forests for high dimensional data

(2012) Yunming Ye et al.   PATTERN RECOGNITION

Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps

(2012) A. Baccini et al.   Nature Climate Change

Exploring the Use of MODIS NDVI-Based Phenology Indicators for Classifying Forest General Habitat Categories

(2012) Nicola Clerici et al.   Remote Sensing

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Forest degradation deepens around and within protected areas in East Asia

(2010) Lina Tang et al.   BIOLOGICAL CONSERVATION

Discriminating different landuse types by using multitemporal NDXI in a rice planting area

(2010) Xian-Zhang Pan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America

(2010) Matthew L. Clark et al.   REMOTE SENSING OF ENVIRONMENT

Critical need for new definitions of “forest” and “forest degradation” in global climate change agreements

(2009) Nophea Sasaki et al.   Conservation Letters

Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis

(2008) R. Grimm et al.   GEODERMA

Beyond Deforestation: Restoring Forests and Ecosystem Services on Degraded Lands

(2008) R. L. Chazdon   SCIENCE