Bringing an ecological view of change to Landsat‐based remote sensing
When characterizing the processes that shape ecosystems, ecologists increasingly use the
unique perspective offered by repeat observations of remotely sensed imagery. However …
unique perspective offered by repeat observations of remotely sensed imagery. However …
High-resolution satellite imagery applications in crop phenoty**: An overview
Over the past ten years, plant phenoty** technologies that utilize sensing and data mining
approaches to estimate crop traits in a high-throughput and objective manner, have been …
approaches to estimate crop traits in a high-throughput and objective manner, have been …
Current status of Landsat program, science, and applications
Formal planning and development of what became the first Landsat satellite commenced
over 50 years ago in 1967. Now, having collected earth observation data for well over four …
over 50 years ago in 1967. Now, having collected earth observation data for well over four …
Continuous change detection and classification of land cover using all available Landsat data
A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …
using all available Landsat data is developed. It is capable of detecting many kinds of land …
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr—Temporal segmentation algorithms
We introduce and test LandTrendr (Landsat-based detection of Trends in Disturbance and
Recovery), a new approach to extract spectral trajectories of land surface change from …
Recovery), a new approach to extract spectral trajectories of land surface change from …
[BOOK][B] Classification methods for remotely sensed data
P Mather, B Tso - 2016 - taylorfrancis.com
Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …
in 2001, the field of pattern recognition has expanded in many new directions that make use …
FORCE—Landsat+ Sentinel-2 analysis ready data and beyond
D Frantz - Remote Sensing, 2019 - mdpi.com
Ever increasing data volumes of satellite constellations call for multi-sensor analysis ready
data (ARD) that relieve users from the burden of all costly preprocessing steps. This paper …
data (ARD) that relieve users from the burden of all costly preprocessing steps. This paper …
Continuous monitoring of forest disturbance using all available Landsat imagery
A new change detection algorithm for continuous monitoring of forest disturbance at high
temporal frequency is developed. Using all available Landsat 7 images in two years, time …
temporal frequency is developed. Using all available Landsat 7 images in two years, time …
Land use and land cover in irrigated drylands: a long-term analysis of changes in the Mendoza and Tunuyán River basins, Argentina (1986–2018)
Processes of agricultural expansion and retreat have provoked an emerging global debate
and driven more focused research, due to its socio-environmental consequences. This …
and driven more focused research, due to its socio-environmental consequences. This …
uDAS: An untied denoising autoencoder with sparsity for spectral unmixing
Linear spectral unmixing is the practice of decomposing the mixed pixel into a linear
combination of the constituent endmembers and the estimated abundances. This paper …
combination of the constituent endmembers and the estimated abundances. This paper …