| The Harmonized Landsat and Sentinel-2 surface reflectance data set |
113 |
| Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis |
103 |
| Current status of Landsat program, science, and applications |
99 |
| High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform |
92 |
| Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery |
76 |
| Deep learning based multi-temporal crop classification |
68 |
| The Collection 6 MODIS burned area mapping algorithm and product |
61 |
| An object-based convolutional neural network (OCNN) for urban land use classification |
59 |
| Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach |
58 |
| Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP |
58 |
| Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress |
52 |
| Seasonal contrast of the dominant factors for spatial distribution of land surface temperature in urban areas |
51 |
| Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping |
51 |
| Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa |
46 |
| A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach |
46 |
| Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product |
44 |
| Joint Deep Learning for land cover and land use classification |
44 |
| What is global photosynthesis? History, uncertainties and opportunities |
43 |
| Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends |
43 |
| Benefits of the free and open Landsat data policy |
42 |
| Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences |
42 |
| Regional differences of lake evolution across China during 1960s-2015 and its natural and anthropogenic causes |
41 |
| Validation of Collection 6 MODIS land surface temperature product using in situ measurements |
41 |
| Satellite-based mapping of daily high-resolution ground PM2.5 in China via space-time regression modeling |
40 |
| Key issues in rigorous accuracy assessment of land cover products |
39 |
| Historical background and current developments for mapping burned area from satellite Earth observation |
39 |
| Development and assessment of the SMAP enhanced passive soil moisture product |
39 |
| Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world |
38 |
| NASA's Black Marble nighttime lights product suite |
38 |
| A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence |
37 |
| Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications |
37 |
| Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4-8 and Sentinel-2 imagery |
36 |
| Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives |
36 |
| Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning |
36 |
| Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model |
35 |
| A global record of annual urban dynamics (1992-2013) from nighttime lights |
35 |
| Smallholder maize area and yield mapping at national scales with Google Earth Engine |
35 |
| Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance |
34 |
| Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging |
34 |
| Understanding an urbanizing planet: Strategic directions for remote sensing |
33 |
| Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks |
33 |
| Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: A comprehensive assessment using global ground-based observations |
33 |
| Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy |
32 |
| Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities |
32 |
| Mapping forest change using stacked generalization: An ensemble approach |
32 |
| Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series |
32 |
| The ATL08 land and vegetation product for the ICESat-2 Mission |
31 |
| Characterizing spatial and temporal trends of surface urban heat island effect in an urban main built-up area: A 12-year case study in Beijing, China |
31 |
| Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs |
30 |
| Assessment of red-edge vegetation indices for crop leaf area index estimation |
30 |
