[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 …
[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data
Abstract Sentinel-1 Synthetic Aperture Radar (SAR) data have provided an unprecedented
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …
Review of synthetic aperture radar with deep learning in agricultural applications
Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …
schedule and not being affected by cloud cover and variations between day and night, have …
UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
Artificial intelligence algorithms for malware detection in android-operated mobile devices
H Alkahtani, THH Aldhyani - Sensors, 2022 - mdpi.com
With the rapid expansion of the use of smartphone devices, malicious attacks against
Android mobile devices have increased. The Android system adopted a wide range of …
Android mobile devices have increased. The Android system adopted a wide range of …
Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine
Satellite remote sensing plays an important role in mapping the location and extent of
surface water. A variety of approaches are available for mapping surface water, but deep …
surface water. A variety of approaches are available for mapping surface water, but deep …
Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region
G De Luca, J MN Silva, S Di Fazio… - European Journal of …, 2022 - Taylor & Francis
This paper aims to develop a supervised classification integrating synthetic aperture radar
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
Comparing Sentinel-1 and-2 data and indices for agricultural land use monitoring
AK Holtgrave, N Röder, A Ackermann, S Erasmi… - Remote Sensing, 2020 - mdpi.com
Agricultural vegetation development and harvest date monitoring over large areas requires
frequent remote sensing observations. In regions with persistent cloud coverage during the …
frequent remote sensing observations. In regions with persistent cloud coverage during the …
Soil moisture retrieval over croplands using dual-pol L-band GRD SAR data
Vegetation cover significantly influences the hydrometeorological processes of land
surfaces. The heterogeneity of vegetation cover makes these processes more complex and …
surfaces. The heterogeneity of vegetation cover makes these processes more complex and …