资讯

2017). Remote sensing in the agricultural context is the observation of vegetation by a remote device and the retrieval of its qualitative or quantitative properties. While remote sensing and plant ...
Using spaceborne SAR and ground-based measurements to identify spatial patterns in soil moisture and seasonal thaw timing in permafrost environments of Alaska ... A systematic review of remote sensing ...
Augsenselab, a Thiruvananthapuram-headquartered quantum sensing and remote sensing startup ... including Synthetic Aperture Radar (SAR), Ground Penetrating Radar (GPR), ELINT solutions and ...
The group focuses on observing and modeling coastal processes including beach evolution, cliff erosion, and nearshore waves. CW3E provides water cycle science, technology and outreach to support ...
Map floods with Sentinel-1 radar images. We replicate in this package the work of Bauer-Marschallinger et al. (2022) on the TU Wien Bayesian-based flood mapping algorithm. This implementation is ...
A new prediction method was tested with satellite remote sensing and species distribution data over 20 years in Andalusia, making possible the development of more dynamic and integrative ...
A new prediction method was tested with satellite remote sensing and species distribution data over 20 years in Andalusia, making possible the development of more dynamic and integrative ...
Abstract: The layout of sprinklers is crucial in agricultural irrigation systems, and agricultural remote sensing technology plays a key role in extracting plant distribution data for designing ...
ISLAMABAD: The government has allocated Rs 4.25 billion for the Ministry of National Food Security and Research (MNFS&R) in ...
This study developed a high-resolution canopy height model by integrating multi-sensor remote sensing data—NASA’s GEDI LiDAR, ESA’s Sentinel-1 SAR, and Sentinel-2 optical imagery—using a Random Forest ...
In a few days, a new satellite that can detect changes on Earth’s surface down to the centimetre, in almost real time and no ...