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Timothy Mayer
Timothy Mayer
NASA – SERVIR, Data Scientist | ESSC – UAH, Research Scientist
Verified email at uah.edu - Homepage
Title
Cited by
Cited by
Year
Comparing sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in southeast asia utilizing google earth engine
KN Markert, AM Markert, T Mayer, C Nauman, A Haag, A Poortinga, ...
Remote Sensing 12 (15), 2469, 2020
912020
Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine
T Mayer, A Poortinga, B Bhandari, AP Nicolau, K Markert, NS Thwal, ...
ISPRS Open Journal of Photogrammetry and Remote Sensing 2, 100005, 2021
542021
Automatic detection of impervious surfaces from remotely sensed data using deep learning
JR Parekh, A Poortinga, B Bhandari, T Mayer, D Saah, F Chishtie
Remote Sensing 13 (16), 3166, 2021
252021
Co-Rip: A riparian vegetation and corridor extent dataset for Colorado river basin streams and rivers
BD Woodward, PH Evangelista, NE Young, AG Vorster, AM West, ...
ISPRS international journal of geo-information 7 (10), 397, 2018
192018
Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine
A Poortinga, NS Thwal, N Khanal, T Mayer, B Bhandari, K Markert, ...
ISPRS Open Journal of Photogrammetry and Remote Sensing 1, 100003, 2021
182021
A statistical evaluation of Earth-observation-based composite drought indices for a localized assessment of agricultural drought in Pakistan
C Schwartz, WL Ellenburg, V Mishra, T Mayer, R Griffin, F Qamer, M Matin, ...
International Journal of Applied Earth Observation and Geoinformation 106 …, 2022
152022
Regional land cover monitoring system for Hindu Kush Himalaya
K Uddin, MA Matin, N Khanal, S Maharjan, B Bajracharya, K Tenneson, ...
Earth Observation Science and Applications for Risk Reduction and Enhanced …, 2021
112021
Comparing sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in southeast asia utilizing google earth engine, Remote Sens., 12, 2469
KN Markert, AM Markert, T Mayer, C Nauman, A Haag, A Poortinga, ...
102020
Improved Remote Sensing Methods to Detect Northern Wild Rice (Zizania palustris L.)
K O’Shea, J LaRoe, V Anthony, N Young, P Evangelista, T Mayer, ...
Remote Sensing 12 (3023), 2020
82020
Rapid rice yield estimation using integrated remote sensing and meteorological data and machine learning
MD Islam, L Di, FM Qamer, S Shrestha, L Guo, L Lin, TJ Mayer, AR Phalke
Remote Sensing 15 (9), 2374, 2023
72023
Tamarisk and Russian olive occurrence and absence dataset collected in select tributaries of the Colorado River for 2017
AG Vorster, BD Woodward, AM West, NE Young, RG Sturtevant, TJ Mayer, ...
Data 3 (4), 42, 2018
42018
Ricemapengine: A google earth engine-based web application for fast paddy rice mapping
Z Yu, L Di, S Shrestha, C Zhang, L Guo, F Qamar, TJ Mayer
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
22023
Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data
HB Parache, T Mayer, KE Herndon, AI Flores-Anderson, Y Lei, Q Nguyen, ...
Remote Sensing 13 (22), 4516, 2021
22021
Pillars of Cloud‐Based Earth Observation Science Education
MA Crowley, M Stuhlmacher, ED Trochim, J Van Den Hoek, ...
AGU Advances 4 (4), e2023AV000894, 2023
12023
Service planning and product design of an Air Quality Monitoring System for Thailand and towards Coverage of the Lower Mekong region
A Weigel Markert, F Chishtie, P Gupta, SB Basnayake, S Jayasinghe, ...
AGU Fall Meeting Abstracts 2019, GH21B-1213, 2019
12019
Bridging the national data gap with Google earth engine and landsat imagery by developing annual land cover for Afghanistan
K Uddin, SB Atal, S Maharjan, B Bajracharya, W Yousafi, T Mayer, ...
Data in Brief 54, 110316, 2024
2024
Applications of Machine Learning and Deep Learning to Address Environmental Challenges and Sustainable Development Goals III Oral
T Mayer, N Clinton, B Bhandari, I Gurung, M Maganini
AGU23, 2023
2023
Using GEDI and Multispectral Earth Observation Data to Map Crop Type with Transfer Learning: Case Study in Bangladesh
S Jiménez, T Mayer, A Phalke
AGU23, 2023
2023
Operational in-season rice area estimation through Earth observation data in Nepal.
FM Qamer, S Shrestha, K Shakya, B Bajracharya, SN Shah, RK Regmi, ...
2023
Employing the agricultural classification and estimation service (ACES) for mapping smallholder rice farms in Bhutan
T Mayer, B Bhandari, FG Martínez, K Walker, SA Jiménez, M Kruskopf, ...
Frontiers in Environmental Science 11, 1137835, 2023
2023
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