Seeing the system from above: The use and potential of remote sensing for studying ecosystem dynamics
C Senf - Ecosystems, 2022 - Springer
Remote sensing techniques are increasingly used for studying ecosystem dynamics,
delivering spatially explicit information on the properties of Earth over large spatial and multi …
delivering spatially explicit information on the properties of Earth over large spatial and multi …
[HTML][HTML] Satellite-enabled enviromics to enhance crop improvement
Enviromics refers to the characterization of micro-and macroenvironments based on large-
scale environmental datasets. By providing genotypic recommendations with predictive …
scale environmental datasets. By providing genotypic recommendations with predictive …
Potential assessment of PRISMA hyperspectral imagery for remote sensing applications
Hyperspectral imagery plays a vital role in precision agriculture, forestry, environment, and
geological applications. Over the past decade, extensive research has been carried out in …
geological applications. Over the past decade, extensive research has been carried out in …
[HTML][HTML] Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation
Precise estimations of actual evapotranspiration (ET a) are essential for various
environmental issues, including those related to agricultural ecosystem sustainability and …
environmental issues, including those related to agricultural ecosystem sustainability and …
[HTML][HTML] Comparing Sentinel-2 and Landsat 8 for burn severity map** in Western North America
Accurate assessment of burn severity is a critical need for an improved understanding of fire
behavior and ecology and effective post-fire management. Although NASA Landsat …
behavior and ecology and effective post-fire management. Although NASA Landsat …
[HTML][HTML] In-season and dynamic crop map** using 3D convolution neural networks and sentinel-2 time series
An accurate, frequently updated, automatic and reproducible map** procedure to identify
seasonal cultivated crops is a prerequisite for many crop monitoring activities. Deep learning …
seasonal cultivated crops is a prerequisite for many crop monitoring activities. Deep learning …
Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data
Tropical forest ecosystems are undergoing rapid transformation as a result of changing
environmental conditions and direct human impacts. However, we cannot adequately …
environmental conditions and direct human impacts. However, we cannot adequately …
[HTML][HTML] Wetland map** in great lakes using Sentinel-1/2 time-series imagery and DEM data in Google Earth Engine
The Great Lakes (GL) wetlands support a variety of rare and endangered animal and plant
species. Thus, wetlands in this region should be mapped and monitored using advanced …
species. Thus, wetlands in this region should be mapped and monitored using advanced …
[HTML][HTML] Integration of remote sensing and Mexican water quality monitoring system using an extreme learning machine
Remote Sensing, as a driver for water management decisions, needs further integration with
monitoring water quality programs, especially in develo** countries. Moreover, usage of …
monitoring water quality programs, especially in develo** countries. Moreover, usage of …
Evaluation and Selection of Multi-Spectral Indices to Classify Vegetation Using Multivariate Functional Principal Component Analysis
The identification, classification and map** of different plant communities and habitats is
of fundamental importance for defining biodiversity monitoring and conservation strategies …
of fundamental importance for defining biodiversity monitoring and conservation strategies …