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Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Z Zhu - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
The free and open access to all archived Landsat images in 2008 has completely changed
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
Machine learning for the geosciences: Challenges and opportunities
Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …
problems facing our humanity and the planet. As geosciences enters the era of big data …
Anthropogenic climate change has driven over 5 million km2 of drylands towards desertification
Drylands cover 41% of the earth's land surface and include 45% of the world's agricultural
land. These regions are among the most vulnerable ecosystems to anthropogenic climate …
land. These regions are among the most vulnerable ecosystems to anthropogenic climate …
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
Satellite time-series data are bolstering global change research, but their use to elucidate
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …
[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
Remote sensing of forest degradation: a review
Forest degradation affects forest structure, composition and diversity, carbon stocks,
functionality and ecosystem processes. It is known to contribute significantly to global carbon …
functionality and ecosystem processes. It is known to contribute significantly to global carbon …
[HTML][HTML] Bibliometric analysis of global NDVI research trends from 1985 to 2021
Y Xu, Y Yang, X Chen, Y Liu - Remote Sensing, 2022 - mdpi.com
As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index
(NDVI) has been employed extensively for vegetation research. However, despite an …
(NDVI) has been employed extensively for vegetation research. However, despite an …
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change
M Reba, KC Seto - Remote sensing of environment, 2020 - Elsevier
Historically, change detection reviews have examined and categorized algorithms based on
their techniques for the remote sensing community. Here, we synthesize urban land change …
their techniques for the remote sensing community. Here, we synthesize urban land change …
Unveiling China's natural and planted forest spatial–temporal dynamics from 1990 to 2020
Understanding the spatial–temporal dynamics of both natural and planted forests is critical
for sustainable forest management and assessing ecological benefits or impacts. In 2020 …
for sustainable forest management and assessing ecological benefits or impacts. In 2020 …
Desertification
A Mirzabaev, J Wu, J Evans, F García-Oliva… - 2019 - philpapers.org
Abstract IPCC SPECIAL REPORT ON CLIMATE CHANGE AND LAND (SRCCL) Chapter 3:
Climate Change and Land: An IPCC special report on climate change, desertification, land …
Climate Change and Land: An IPCC special report on climate change, desertification, land …