Visualizing Land Cover and Land-Cover Change
A Review of Existing Methods and Remaining Challenges
Bibliographic Data
| ID | 14701347 |
|---|---|
| Authors | Shima Bahramvash Shams (0000-0003-4061-1159, NSF National Center for Atmospheric Research), Jennifer Boehnert (NSF National Center for Atmospheric Research), Olga Wilhelmi (0000-0002-8496-9710, NSF National Center for Atmospheric Research) |
| Year | 2024 |
| Volume | 59 |
| Issue | 4 |
| Pages | 113-142 |
| Publication date | 2024-12-18 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/cart-2024-0010 |
| OpenAlex | W4408568349 |
| Language | EN |
| References cited | 105 |
Over the past decades, Earth science data have dramatically increased and have been used to understand the Earth system. Land cover and land-cover change (LCLCC) data have been an integral part of monitoring the Earth’s surface, understanding environmental conditions, and managing resources. Visualizing LCLCC plays an important role in increasing the usability of LCLCC data and science for researchers and practitioners. However, visually communicating large, spatiotemporal LCLCC data sets, with different levels of complexity, to a variety of audiences presents a number of challenges. To explore ways to address this matter, this article provides background information on fundamental concepts and methods of data visualization. The authors review visualization methods found in LCLCC literature (2015–2023) and provide illustrative examples for a study domain in California, USA. They discuss challenges associated with developing LCLCC visualizations, with the focus on complex information in a single visualization. To address this challenge, the authors highlight data visualization approaches that aimed at simplifying the high-information content of LCLCC and improving land-cover science communication and the usability of LCLCC data
Biology · Cartography · Environmental resource management · Geography · Land cover · Land use · Physical geography · Remote sensing · Engineering · Environmental Science · Land Use and Ecosystem Services · Remote Sensing and Land Use · Remote Sensing in Agriculture · Ecology
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It's About Time
| Citation velocity | historical |
|---|---|
| Highly cited | No |