An operational land cover and land cover change toolbox: processing open‐source data with open‐source software
Abstract Accurate and up‐to‐date land cover maps are vital for underpinning evidence‐based landscape management decision‐making. However, the technical skills required to extract tailored information about land cover dynamics from these open‐access geospatial data often limit their use by those maki...
Main Authors: | Naomi Gatis, Donna Carless, David J. Luscombe, Richard E. Brazier, Karen Anderson |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-07-01
|
Series: | Ecological Solutions and Evidence |
Subjects: | |
Online Access: | https://doi.org/10.1002/2688-8319.12162 |
Similar Items
-
Systematic land-cover change in KwaZulu-Natal, South Africa: Implications for biodiversity
by: Debbie Jewitt, et al.
Published: (2015-09-01) -
Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets
by: Tomáš Řezník, et al.
Published: (2021-02-01) -
Sen-2 LULC: Land use land cover dataset for deep learning approaches
by: Suraj Sawant, et al.
Published: (2023-12-01) -
Decline of Late Spring and Summer Snow Cover in the Scottish Highlands from 1984 to 2022: A Landsat Time Series
by: Benedict D. Spracklen, et al.
Published: (2023-04-01) -
Land cover clustering and classification of satellite images
by: Kharat Vaishnavi, et al.
Published: (2023-01-01)