[HTML][HTML] Map** crop phenology in near real-time using satellite remote sensing: Challenges and opportunities
Crop phenology is critical for agricultural management, crop yield estimation, and
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
[BOEK][B] Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep
learning in the field of earth sciences, from four leading voices Deep learning is a …
learning in the field of earth sciences, from four leading voices Deep learning is a …
Global climate
Global Climate is one chapter from the State of the Climate in 2022 annual report and is
available from https://doi. org/10.1175/BAMS-D-23-0090.1. Compiled by NOAA's National …
available from https://doi. org/10.1175/BAMS-D-23-0090.1. Compiled by NOAA's National …
Develo** an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with …
Crop phenology has been widely detected from multiple historical satellite observations.
Conversely, Near-Real-Time (NRT) monitoring of crop progress from timely available remote …
Conversely, Near-Real-Time (NRT) monitoring of crop progress from timely available remote …
A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land …
Vegetation phenology is one of the most sensitive indicators to environmental and climate
changes. In order to characterize the seasonal variation in relatively pure or homogenous …
changes. In order to characterize the seasonal variation in relatively pure or homogenous …
[HTML][HTML] Monitoring cropland phenology on Google Earth Engine using gaussian process regression
Monitoring cropland phenology from optical satellite data remains a challenging task due to
the influence of clouds and atmospheric artifacts. Therefore, measures need to be taken to …
the influence of clouds and atmospheric artifacts. Therefore, measures need to be taken to …