Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review
M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect
Cropland soil carbon not only serves food security but also contributes to the stability of the
terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon …
terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon …
Mapping temperate forest tree species using dense Sentinel-2 time series
Precise information on tree species composition is critical for forest management and
conservation, but mapping tree species with satellite data over large areas is still a …
conservation, but mapping tree species with satellite data over large areas is still a …
Satellite image classification using a hierarchical ensemble learning and correlation coefficient-based gravitational search algorithm
K Thiagarajan, M Manapakkam Anandan, A Stateczny… - Remote Sensing, 2021 - mdpi.com
Satellite image classification is widely used in various real-time applications, such as the
military, geospatial surveys, surveillance and environmental monitoring. Therefore, the …
military, geospatial surveys, surveillance and environmental monitoring. Therefore, the …
[HTML][HTML] SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification
Sentinel-2 images provide a rich source of information for a variety of land cover, vegetation,
and environmental monitoring applications due to their high spectral, spatial, and temporal …
and environmental monitoring applications due to their high spectral, spatial, and temporal …
[HTML][HTML] Examining rice distribution and cropping intensity in a mixed single-and double-cropping region in South China using all available Sentinel 1/2 images
Paddy rice agriculture in Southern China, especially Hunan Province, has been suffered
from soil contamination. Several policies including rice fallow and decreasing cropping …
from soil contamination. Several policies including rice fallow and decreasing cropping …
Mapping crop types and cropping systems in nigeria with sentinel-2 imagery
Reliable crop type maps from satellite data are an essential prerequisite for quantifying crop
growth, health, and yields. However, such maps do not exist for most parts of Africa, where …
growth, health, and yields. However, such maps do not exist for most parts of Africa, where …
Earth observation data cubes for Brazil: Requirements, methodology and products
Recently, remote sensing image time series analysis has being widely used to investigate
the dynamics of environments over time. Many studies have combined image time series …
the dynamics of environments over time. Many studies have combined image time series …
[HTML][HTML] A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification
B Chen, H Zheng, L Wang, O Hellwich, C Chen… - International Journal of …, 2022 - Elsevier
Multi-temporal deep learning approaches can make full use of crop growth patterns and
phenological characteristics, resulting in excellent crop classification performance in large …
phenological characteristics, resulting in excellent crop classification performance in large …
A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation
A few well-annotated datasets for land-cover semantic segmentation have recently been
introduced to advance the field of earth observation technologies. However, these datasets …
introduced to advance the field of earth observation technologies. However, these datasets …