Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests.

Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d'Ivoire and Ghana Using Sentinel-2 and Random Forest Model.

ALOS-2 PALSAR-2 ScanSAR and Sentinel-1 data for timely tropical forest disturbance mapping: A case study for Sumatra, Indonesia.

Corrigendum to "How textural features can improve SAR-based tropical forest disturbance mapping" [Int. J. Appl. Earth Obs. Geoinform. 124 (2023) 103492].

How textural features can improve SAR-based tropical forest disturbance mapping.

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling.

A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing.

Large Area Aboveground Biomass and Carbon Stock Mapping in Woodlands in Mozambique with L-Band Radar: Improving Accuracy by Accounting for Soil Moisture Effects Using the Water Cloud Model.

Alert-Driven Community-Based Forest Monitoring: A Case of the Peruvian Amazon.

Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network.

The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities.

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine.

Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine.

Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa.

Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts.

Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series.

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring.

A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection.

Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation.