David Saah

发表

Water we going to do with all these data? Service development using interdisciplinary data for flood applications

Eric Anderson, A. Weigel Markert, Kel Markert, 2018 .

Land Cover Mapping in Data Scarce Environments: Challenges and Opportunities

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

A model-aided satellite-altimetry-based flood forecasting system for the Mekong River

Faisal Hossain, David Saah, Duong Du Bui, 2019, Environ. Model. Softw..

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

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

A novel approach to assess food security and natural capital using cloud-based remote sensing and machine learning: a case study of Nghe An and Thanh Hoa Vietnam.

Kel Markert, Farrukh Chishtie, P. Ate, 2018 .

GeoDash: Assisting Visual Image Interpretation in Collect Earth Online by Leveraging Big Data on Google Earth Engine

David Saah, Eric Anderson, D. Mollicone, 2017 .

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..

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..

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..

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..

Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass

David Saah, Qi Chen, Gaia Vaglio Laurin, 2012 .

Aboveground live carbon stock changes of California wildland ecosystems, 2001–2010

David Saah, Brandon M. Collins, John J. Battles, 2015 .

So you want your research to be relevant? Building the bridge between ecosystem services research and practice

David Saah, Stephen Polasky, James S. Kagan, 2017 .

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 .

The landscape of conflict: IDPs, aid and land-use change in Darfur

David Saah, D. Saah, Anne L. Bartlett, 2013 .

Modeling hazardous fire potential within a completed fuel treatment network in the northern Sierra Nevada

David Saah, Scott L. Stephens, Brandon M. Collins, 2013 .

Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

David Saah, Dengsheng Lu, Gaia Vaglio Laurin, 2012 .