| Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery P Thanh Noi, M Kappas Sensors 18 (1), 18, 2018 | 1237 | 2018 |
| Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition TN Phan, V Kuch, LW Lehnert Remote Sensing 12 (15), 2411, 2020 | 350 | 2020 |
| Comparison of multiple linear regression, cubist regression, and random forest algorithms to estimate daily air surface temperature from dynamic combinations of MODIS LST data PT Noi, J Degener, M Kappas Remote Sensing 9 (5), 398, 2017 | 164 | 2017 |
| Estimating daily maximum and minimum land air surface temperature using MODIS land surface temperature data and ground truth data in northern Vietnam PT Noi, M Kappas, J Degener Remote Sensing 8 (12), 1002, 2016 | 58 | 2016 |
| Application of MODIS land surface temperature data: a systematic literature review and analysis TN Phan, M Kappas Journal of Applied Remote Sensing 12 (4), 041501, 2018 | 53 | 2018 |
| Land Surface Temperature Variation Due to Changes in Elevation in Northwest Vietnam TN Phan, M Kappas, TP Tran Climate 6 (2), 28, 2018 | 48 | 2018 |
| Evaluation of MODIS land surface temperature products for daily air surface temperature estimation in northwest Vietnam TN Phan, M Kappas, KT Nguyen, TP Tran, QV Tran, AR Emam International Journal of Remote Sensing 40 (14), 5544-5562, 2019 | 21 | 2019 |
| A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran M Bayat, PT Noi, R Zare, DT Bui Remote Sensing 11 (14), 1680, 2019 | 21 | 2019 |
| A cost-effective method to monitor vegetation changes in steppes ecosystems: A case study on remote sensing of fire and infrastructure effects in eastern Mongolia B Dashpurev, K Wesche, Y Jäschke, K Oyundelger, TN Phan, J Bendix, ... Ecological Indicators 132, 108331, 2021 | 11 | 2021 |
| Estimating fractional vegetation cover and aboveground biomass for land degradation assessment in eastern Mongolia steppe: combining ground vegetation data and remote sensing B Dashpurev, M Dorj, TN Phan, J Bendix, LW Lehnert International Journal of Remote Sensing 44 (2), 452-468, 2023 | 7 | 2023 |
| Remote sensing for urban heat island research: Progress, current issues, and perspectives PK Diem, CT Nguyen, NK Diem, NTH Diep, PTB Thao, TG Hong, TN Phan Remote Sensing Applications: Society and Environment, 101081, 2023 | 5 | 2023 |
| A regional assessment of ecological environment quality in Thailand special economic zone: Spatial heterogeneous influences and future prediction CT Nguyen, R Kaewthongrach, S Channumsin, M Chongcheawchamnan, ... Land Degradation & Development, 2023 | 3 | 2023 |
| A simple, fast, and accurate method for land cover mapping in Mongolia TN Phan, B Dashpurev, F Wiemer, LW Lehnert Geocarto International 37 (26), 14432-14450, 2022 | 2 | 2022 |
| Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam PT Noi Georg-August-Universität Göttingen, 2018 | 1 | 2018 |
| Above‐ground biomass retrieval with multi‐source data: Prediction and applicability analysis in E astern M ongolia S Ji, B Dashpurev, TN Phan, M Dorj, Y Jäschke, L Lehnert Land Degradation & Development, 2024 | | 2024 |
| Estimating the Effect of Infrastructure on Vegetation Degradation in Eastern Mongolia Steppe Using Machine Learning and Remote Sensing B Dashpurev, TN Phan, J Bendix, LW Lehnert 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6167 …, 2021 | | 2021 |
| Comparison of fire products in Mongolia reveals contrasting results L Lehnert, T Noi Phan EGU General Assembly Conference Abstracts, 11064, 2020 | | 2020 |
| Remote sensing of grassland communities in Mongolian Steppe combining multi-source data and machine learning classification algorithms T Noi Phan, Y Jäschke, O Chuluunkhuyag, M Oyunbileg, K Wesche, ... EGU General Assembly Conference Abstracts, 13399, 2020 | | 2020 |
