Ate Poortinga

发表

Land Cover Mapping in Data Scarce Environments: Challenges and Opportunities

Matthew Patterson, Kel Markert, Farrukh Chishtie, 2019, Front. Environ. Sci..

ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite

David Saah, Remko Uijlenhoet, Ate Poortinga, 2020, Remote. Sens..

Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine

David Saah, Timothy J. Mayer, Biplov Bhandari, 2020, Remote. Sens..

Collect Earth: An online tool for systematic reference data collection in land cover and use applications

David Saah, Nguyen Hanh Quyen, Africa Ixmucane Flores-Anderson, 2019, Environ. Model. Softw..

A publicly available GIS-based web platform for reservoir inundation mapping in the lower Mekong region

David Saah, Hamid Mehmood, Thailynn Munroe, 2020, Environ. Model. Softw..

Predictive Analytics for Identifying Land Cover Change Hotspots in the Mekong Region

David Saah, Biplov Bhandari, Karis Tenneson, 2020, Remote. Sens..

Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing

David J. Ganz, Robert E. Griffin, Kel N. Markert, 2018, Remote. Sens..

An Operational Before-After-Control-Impact (BACI) Designed Platform for Vegetation Monitoring at Planetary Scale

Austin Troy, David Saah, Biplov Bhandari, 2018, Remote. Sens..

A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data

David Saah, Gabriel B. Senay, Ate Poortinga, 2017, Remote. Sens..

A Comparison of Three Temporal Smoothing Algorithms to Improve Land Cover Classification: A Case Study from NEPAL

David Saah, Karis Tenneson, Mir Matin, 2020, Remote. Sens..

Measuring aeolian sand transport using acoustic sensors

Jean T. Ellis, Douglas J. Sherman, Hans van Rheenen, 2015 .

Primitives as building blocks for constructing land cover maps

David J. Ganz, David Saah, Biplov Bhandari, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification

David Saah, Aurélie Shapiro, Karis Tenneson, 2019, Remote. Sens..

Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine

Kel Markert, David Saah, Timothy J. Mayer, 2021 .

Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine

Kel Markert, David Saah, Timothy J. Mayer, 2021, ISPRS Open Journal of Photogrammetry and Remote Sensing.

Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning

David Saah, Timothy J. Mayer, Biplov Bhandari, 2021, Remote. Sens..

Lessons Learned While Implementing a Time-Series Approach to Forest Canopy Disturbance Detection in Nepal

David Saah, Karis Tenneson, Ate Poortinga, 2021, Remote. Sens..

Mapping ecosystem services: The supply and demand of flood regulation services in Europe

Peter H. Verburg, Ate Poortinga, A. Poortinga, 2014 .

Operational Flood Risk Index Mapping for Disaster Risk Reduction Using Earth Observations and Cloud Computing Technologies: A Case Study on Myanmar

Kel Markert, David Saah, Biplov Bhandari, 2019, Front. Environ. Sci..

Projected Impact of Climate Change on Hydrological Regimes in the Philippines

Hideki Kanamaru, Coen J. Ritsema, Saskia Keesstra, 2016, PloS one.

Lumped surface and sub‐surface runoff for erosion modeling within a small hilly watershed in northern Vietnam

Leo Stroosnijder, Chu Thai Hoanh, S. M. Visser, 2013 .

On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models

David J. Ganz, David Saah, Martine Rutten, 2017 .