- Anti-poaching infrastructure and ranger-post monitoring — Very-high-resolution optical and SAR imagery provides independent verification of ranger infrastructure and detects unauthorised tracks before poaching networks consolidate. An audit layer donors can trust.
- Coral-reef thermal stress and bleaching-context monitoring — Satellite thermal sensors track sea-surface temperature anomalies daily, giving reef managers quantified bleaching risk before divers enter the water. This page explains the physics, the sensors, and the honest limits of remote prediction.
- Ecological corridor planning using satellite land-cover time series — Least-cost path analysis across satellite-derived resistance surfaces can identify viable wildlife corridors, but only if the land-cover record is long enough to separate stable natural cover from temporarily green degraded ground.
- Ecosystem-services carbon-stock accounting from satellite biomass layers — Estimating forest carbon stocks from space is tractable in low-to-moderate biomass ecosystems but runs into a hard physics wall in dense tropical forests. This page explains which sensors work where, why, and what the incoming ESA BIOMASS mission changes.
- Habitat fragmentation and patch-connectivity mapping — Patch size, shape, edge density and inter-patch distance tell ecologists what a land-cover map alone cannot: whether a landscape can still sustain viable populations. Satellite-derived fragmentation indices turn that question into a measurable, repeatable number.
- Invasive plant species detection using hyperspectral and multispectral signatures — Hyperspectral and red-edge multispectral imagery can discriminate many invasive plant species from native vegetation by exploiting differences in leaf biochemistry, canopy phenology and structure. This page explains which invasives are spectrally separable at current sensor resolutions, which remain ambiguous, and how PRISMA, DESIS and Sentinel-2 are used operationally.
- Mangrove extent and canopy-structure mapping — Mapping mangrove extent demands tidal-phase-aware optical composites and L-band SAR that sees through canopy to woody structure. Together, Sentinel-1, ALOS-2 PALSAR-2, Sentinel-2 and Landsat resolve stand boundaries and canopy architecture that single-sensor approaches routinely miss.
- Peatland drainage and subsidence monitoring using InSAR — Drained peatlands subside at rates of centimetres per year, releasing stored carbon invisibly. InSAR time series turns that subsidence into a spatially continuous, millimetre-scale record without a single ground benchmark.
- Protected-area boundary encroachment detection — Agricultural clearing, road-cutting and settlement expansion inside gazetted protected areas can be detected weeks earlier than ground patrols can confirm them. Multispectral and SAR change-detection applied to Sentinel time series flags legal-boundary crossings automatically, separating permanent conversion from seasonal burn or flood.
- Seagrass bed distribution mapping in shallow coastal waters — Satellite water-column correction methods can map submerged seagrass meadows to depths of roughly five to ten metres, giving coastal managers areal estimates that field surveys alone cannot match in scale or frequency.
- Surface-water permanence and seasonal wetland mapping for biodiversity — Multi-temporal Landsat and Sentinel imagery can resolve how long water sits on any patch of ground, year by year. That hydroperiod signal is the foundation of waterbird, amphibian and freshwater-invertebrate habitat assessment.
- Wildlife habitat-suitability modelling from satellite-derived covariates — Species distribution models built from satellite-derived covariates turn raw sensor data into spatially explicit habitat suitability scores. The choice of covariate and its resolution determines whether the model is useful for elephants or lizards.