Climate, vegetation,
water & fire

EcoViewer's environmental layers provide rich contextual information about any location on Earth — from climate and terrain to vegetation structure, surface water, and fire disturbance history. Used alongside GBIF ecosystem indicator species data, they help build a complete picture of what ecosystem is likely present at a given place.

Five thematic
analysis panels

EcoViewer organises environmental data into five thematic panels. Click anywhere on the map and switch between panels to explore different dimensions of the ecosystem at that location. All layers are derived from peer-reviewed, publicly available global datasets, processed and harmonised through Google Earth Engine.

Environmental layers work in tandem with the GBIF ecosystem indicator species panel — together they provide both the ecological conditions of a place and the species that characterise it.

01

Overview

Location context including latitude, country, ecoregion, elevation, slope, and terrain contours.

02

Climate Info

Temperature, precipitation, aridity, and seasonal climate trends from long-term global datasets.

03

Vegetation

Land cover classification and canopy height, including tree distribution and vegetation structure.

04

Waterbodies & Wetlands

Surface water, wetlands, rivers, mangroves, tidal habitats, and benthic ecosystems.

05

Fire Disturbance

Active fire detections and burn scar history within a 5 km radius, with seasonal burn patterns.

Location context
and terrain

The Overview panel provides essential contextual information about a location before diving into thematic analysis. It reports the latitude, country, and RESOLVE Ecoregion — a fine-scale terrestrial biogeographic unit that gives immediate ecological framing for the point of interest.

Elevation and slope are derived from the NASA SRTM 30 m digital elevation model, both of which are critical determinants of ecosystem type. Contour lines are also displayed on the map to provide spatial context on the surrounding terrain and landscape.

Datasets
RESOLVE Ecoregions 2017 Dinerstein, E. et al. (2017) · BioScience
CC BY 4.0
NASA SRTM Digital Elevation, 30 m Farr, T.G. et al. (2007) · Reviews of Geophysics
Public Domain
Overview panel — EcoViewer

Overview panel showing ecoregion and terrain context

Temperature, rainfall,
and aridity

The Climate Info panel provides the long-term climate variables most relevant to ecosystem distribution. It reports mean maximum and minimum temperature, annual precipitation, aridity class, aridity index, and average dry months — all key inputs for understanding the climatic envelope of an ecosystem.

Temperature and precipitation statistics are derived from CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas), averaged across 1981–2010. The aridity index — the ratio of mean annual precipitation to potential evapotranspiration — provides a numerical measure of dryness: values below 0.03 typically indicate hyper-arid desert conditions.

In colder climates, the panel additionally reports estimated snow days and flags whether the location likely falls within the Polar and cryogenic biome. Users can also generate interactive climate charts showing temperature and rainfall trends over the last 10 years. The precipitation chart is derived from CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), a pentad-average dataset freely available in Google Earth Engine. The temperature chart uses the ERA5-Land reanalysis dataset. These charts are useful for understanding long-term trends in ecosystem condition and identifying seasonal patterns — particularly when distinguishing fire-season dry periods from wet-season recovery.

Datasets
CHELSA High-Resolution Monthly Climate Data Karger, D.N. et al. (2017) · Scientific Data
CC BY 4.0
CHIRPS Precipitation Pentad v2.0 Funk, C. et al. (2015) · Scientific Data
CC BY 4.0
ERA5-Land temperature Copernicus Climate Change Service (C3S)
CC BY 4.0
Global Aridity Index & ET0 v3 Zomer, R.J. et al. (2022) · Scientific Data
CC BY 4.0
Climate Info panel — EcoViewer

Climate Info panel showing temperature and precipitation statistics

Land cover
and canopy structure

The Vegetation panel moves beyond simple land classification to provide both the type and structural character of vegetation at a location. Land cover is assessed using two complementary datasets: the SBTN Natural Lands Map, which distinguishes natural from converted land, and the ESA WorldCover, a high-resolution global land classification.

A key feature of this panel is the tree height distribution graph, generated on demand for any location. Rather than a flat classification, this provides critical vertical information about vegetation structure — the percentage of trees and shrubs within a 100 m area, broken into three height categories: 0–1 m (red), 1–5 m (yellow), and above 5 m (green). This structural detail is often decisive in distinguishing between ecosystem types that share similar climate and species composition.

Datasets
SBTN Natural Lands Map v1.1 Mazur, E. et al. (2025) · WRI
CC BY-SA 4.0
ESA WorldCover 2021 Zanaga, D. et al. (2022) · ESA / Vito
CC BY 4.0
Global Canopy Height Map Tolan, J. et al. (2023) · Remote Sensing of Environment
CC BY 4.0
Global Pasture Watch — Annual Grasslands v1 Parente, L. et al. (2024) · Scientific Data
CC BY 4.0
Vegetation panel — EcoViewer

Vegetation panel showing canopy height distribution

Surface water
and coastal ecosystems

The Waterbodies & Wetlands panel identifies the potential presence of freshwater, wetland, and coastal ecosystems at a location. It draws on multiple global datasets to cover the full spectrum of aquatic and intertidal environments — from inland lakes and marshes to mangroves and coral reefs.

Wetland type is classified using the Global Lakes and Wetlands Database. Intertidal habitat is assessed through the Murray Intertidal Wetlands Layer (tidal class) and the Global Mangrove Watch for mangrove presence. Allen Coral Atlas benthic data identifies reef and seagrass habitats in shallow coastal waters.

The panel also includes a river analysis tool: click "Show River Layer and Analyse" to determine whether the location falls within 250 m of a mapped river, along with hydrological statistics — flow rate, discharge, and elevation — relevant to understanding the river's ecosystem function.

Datasets
Global Lakes & Wetlands Database v2 (GLWD v2) Lehner, B. et al. (2025) · Earth System Science Data
CC BY 4.0
Global Surface Water Pekel, J.F. et al. (2016) · Nature
Copernicus License
Global River Classification (GloRiC) Ouellet Dallaire, C. et al. (2019) · Environmental Research Letters
HydroSHEDS License
Global Intertidal Change Murray, N.J. et al. (2022) · Scientific Data
CC BY 4.0
Global Mangrove Watch Version 3.0 Bunting, P. et al. (2022) · Remote Sensing
CC BY 4.0
Allen Coral Atlas Lyons, M. . et al. (2022) · Allen Coral Atlas
CC BY 4.0
Waterbodies and Wetlands panel — EcoViewer

Waterbodies & Wetlands panel showing wetland classification and river analysis

Fire frequency
and burn history

The Fire Disturbance panel maps the frequency of active fires and burn scars within a 5 km radius of a selected location. Fire is a fundamental ecological process in many ecosystem types — distinguishing fire-adapted savannas from forests, for example — and its frequency and seasonality are key signals in ecosystem characterisation.

Two datasets are used in combination: the VIIRS (Visible Infrared Imaging Radiometer Suite) sensor for active fire detections, and MODIS Burned Area for historical burn scars. A heatmap shows pixels detected by each sensor, with overlapping detections indicating higher confidence of fire occurrence.

The panel also shows burn seasonality — which months are typically prone to fire at a location. Comparing this with the Climate Info panel's seasonal rainfall chart can help determine whether fires are natural (dry-season fires in fire-adapted ecosystems) or potentially anthropogenic in origin — an important ecological distinction.

Datasets
NASA FIRMS — VIIRS Active Fire Detections NASA / LANCE / EOSDIS
Open Data
MODIS Burned Area Monthly Giglio, L. et al. (2021) · NASA
Public Domain
Fire Disturbance panel — EcoViewer

Fire Disturbance panel showing burn frequency heatmap and seasonality

If you use EcoViewer in your research, please cite the relevant datasets above alongside the EcoViewer platform. Data is aggregated from third-party sources; users should consult original providers for full licence terms and usage constraints.