A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
The globe's population is increasing day by day, which causes the severe problem of
organic food for everyone. Farmers are becoming progressively conscious of the need to …
organic food for everyone. Farmers are becoming progressively conscious of the need to …
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 …
[HTML][HTML] Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany
L Blickensdörfer, M Schwieder, D Pflugmacher… - Remote sensing of …, 2022 - Elsevier
Monitoring agricultural systems becomes increasingly important in the context of global
challenges like climate change, biodiversity loss, population growth, and the rising demand …
challenges like climate change, biodiversity loss, population growth, and the rising demand …
The 10-m crop type maps in Northeast China during 2017–2019
Northeast China is the leading grain production region in China where one-fifth of the
national grain is produced; however, consistent and reliable crop maps are still unavailable …
national grain is produced; however, consistent and reliable crop maps are still unavailable …
[HTML][HTML] ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery
Semantic segmentation of remotely sensed imagery plays a critical role in many real-world
applications, such as environmental change monitoring, precision agriculture …
applications, such as environmental change monitoring, precision agriculture …
SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data
In China, the demand for a more precise perception of the national land surface has become
most urgent given the pace of development and urbanization. Constructing a very-high …
most urgent given the pace of development and urbanization. Constructing a very-high …
Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine
Cropping intensity has undergone dramatic changes worldwide due to the effects of climate
changes and human management activities. Cropping intensity is an important factor …
changes and human management activities. Cropping intensity is an important factor …
[HTML][HTML] Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
Northeast China is one of the most major grain banks in China and has an overwhelming
influence on food security. To mitigate the challenges caused by increasing food demands …
influence on food security. To mitigate the challenges caused by increasing food demands …
Status of phenological research using Sentinel-2 data: A review
Remote sensing of plant phenology as an indicator of climate change and for mapping land
cover has received significant scientific interest in the past two decades. The advancing of …
cover has received significant scientific interest in the past two decades. The advancing of …