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Breaking the Habit(at)

https://doi.org/10.1016/j.tree.2019.04.013
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rse2.15openalex-snapshot
Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions
inferredcites →https://doi.org/10.1016/j.rse.2011.08.024openalex-snapshot
A review of large area monitoring of land cover change using Landsat data
inferredcites →https://doi.org/10.1016/j.rse.2014.08.038openalex-snapshot
A model for the propagation of uncertainty from continuous estimates of tree cover to categorical forest cover and change
inferredcites →https://doi.org/10.1016/s0303-2434(03)00004-7openalex-snapshot
The characterisation and measurement of land cover change through remote sensing: problems in operational applications?
inferredcites →https://doi.org/10.1038/513030aopenalex-snapshot
Satellites: Make Earth observations open access
inferredcites →https://doi.org/10.1038/523403aopenalex-snapshot
Environmental science: Agree on biodiversity metrics to track from space
inferredcites →https://doi.org/10.1080/01431161.2018.1452075openalex-snapshot
Land cover 2.0
inferredcites →https://doi.org/10.1080/17538947.2016.1187673openalex-snapshot
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring
inferredcites →https://doi.org/10.1126/science.1229931openalex-snapshot
Essential Biodiversity Variables
inferredcites →https://doi.org/10.1139/z91-431openalex-snapshot
Moose selection of canopy cover types related to operative temperature, forage, and snow depth
inferredcites →https://doi.org/10.1371/journal.pone.0128088openalex-snapshot
Assessing Nutritional Parameters of Brown Bear Diets among Ecosystems Gives Insight into Differences among Populations
inferredcites →https://doi.org/10.1644/13-mamm-a-161openalex-snapshot
Macronutrient optimization and energy maximization determine diets of brown bears

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Habitat metrics based on multi‐temporal Landsat imagery for mapping large mammal habitat
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Mapping the world's coral reefs using a global multiscale earth observation framework
inferred← citeshttps://doi.org/10.1002/rse2.255openalex-snapshot
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Seeing the System from Above: The Use and Potential of Remote Sensing for Studying Ecosystem Dynamics
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Six key steps for functional landscape analyses of habitat change
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Integrating remote sensing data on habitat suitability and functional connectivity to inform multitaxa roadkill mitigation plans
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Community structure, biomass, and tree species composition across soil and fire gradients in a threatened Amazonian savanna
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Remote Sensing’s Recent and Future Contributions to Landscape Ecology
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Using GEDI‑derived vegetation structural metrics to evaluate avian biodiversity patterns in Mediterranean habitats
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Textural indices of aerial images reveal urban landscapes temporal dynamics and their effects on plants and birds
inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.114198openalex-snapshot
Modelling species distributions using remote sensing predictors: Comparing dynamic habitat index and LULC
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2025.111096openalex-snapshot
Harnessing the power of categorical maps for spatial modelling – a case study for soil type using Maxent
inferred← citeshttps://doi.org/10.1016/j.foreco.2025.122987openalex-snapshot
A new lens on biodiversity assessment: The reliability of high-resolution remote sensing in investigating tree species diversity in old-growth forests
inferred← citeshttps://doi.org/10.1016/j.foreco.2026.123665openalex-snapshot
LiDAR metrics enhance our understanding of habitat selection beyond ecoforest map habitat categories
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e27864openalex-snapshot
Tracking effects of extreme drought on coniferous forests from space using dynamic habitat indices
inferred← citeshttps://doi.org/10.1016/j.jag.2024.103763openalex-snapshot
The relationship between remotely-sensed spectral heterogeneity and bird diversity is modulated by landscape type
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104283openalex-snapshot
Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&2 data applied to small seasonal ponds in semiarid environments
inferred← citeshttps://doi.org/10.1016/j.jnc.2022.126233openalex-snapshot
Modelling potential habitat suitability for critically endangered Arabian leopards (Panthera pardus nimr) across their historical range in Saudi Arabia
inferred← citeshttps://doi.org/10.1016/j.resourpol.2025.105515openalex-snapshot
Mining-induced displacement and livelihood restoration: A data-driven approach
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111691openalex-snapshot
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114717openalex-snapshot
Next generation Arctic vegetation maps: Aboveground plant biomass and woody dominance mapped at 30 m resolution across the tundra biome
inferred← citeshttps://doi.org/10.1080/10106049.2023.2292162openalex-snapshot
Potential of the satellite-based Dynamic Habitat Index (DHI) to capture changes in soil properties and drought conditions across Land Use/Land Cover types in a Central European landscape
inferred← citeshttps://doi.org/10.1093/biosci/biae002openalex-snapshot
The potential of historical spy-satellite imagery to support research in ecology and conservation
inferred← citeshttps://doi.org/10.1101/2020.09.10.292243openalex-snapshot
Reef Cover: a coral reef classification to guide global habitat mapping from remote sensing
inferred← citeshttps://doi.org/10.1111/1365-2745.14403openalex-snapshot
Incorporating effects of habitat patches into species distribution models
inferred← citeshttps://doi.org/10.1111/cobi.13820openalex-snapshot
Using historical spy satellite photographs and recent remote sensing data to identify high‐conservation‐value forests
inferred← citeshttps://doi.org/10.1111/mam.12262openalex-snapshot
Room to roam for African lions Panthera leo: a review of the key drivers of lion habitat use and implications for conservation
inferred← citeshttps://doi.org/10.1139/cjfr-2020-0424openalex-snapshot
Airborne laser scanning for quantifying criteria and indicators of sustainable forest management in Canada
inferred← citeshttps://doi.org/10.1139/er-2019-0072openalex-snapshot
Scientific considerations and challenges for addressing cumulative effects in forest landscapes in Canada
inferred← citeshttps://doi.org/10.1186/s40462-020-00223-9openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs11192305openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs12030562openalex-snapshot
Predicting Microhabitat Suitability for an Endangered Small Mammal Using Sentinel-2 Data
inferred← citeshttps://doi.org/10.3390/rs13030492openalex-snapshot
Landscape Similarity Analysis Using Texture Encoded Deep-Learning Features on Unclassified Remote Sensing Imagery
inferred← citeshttps://doi.org/10.5194/essd-14-3835-2022openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/essd-2022-92-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/essd-2022-92-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/essd-2022-92-ac3openalex-snapshot
Reply on RC3
inferred← citeshttps://doi.org/10.5194/essd-2022-92-rc3openalex-snapshot
Comment on essd-2022-92
inferred← citeshttps://doi.org/10.5558/tfc2021-014openalex-snapshot
Advancing the application of remote sensing for forest information needs in Canada: Lessons learned from a national collaboration of university, industrial and government stakeholders
inferred← citeshttps://doi.org/10.5558/tfc2021-015openalex-snapshot
Progrès dans l’application de la télédétection pour les besoins en matière d’information sur les forêts au Canada : leçons tirées d’une collaboration nationale d’intervenants universitaires, industriels et gouvernementaux
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