MODIS

Forest water use is increasingly decoupled from water availability even during severe drought

Key to understanding forest water balances is the role of tree species regulating evapotranspiration (ET), but the synergistic impact of forest species composition, topography, and water availability on ET and how this shapes drought sensitivity …

Towards global flood mapping with machine learning based on the Harmonized Landsat-Sentinel 2 data

Floods are the largest natural hazard in terms of life loss and economic damage, regardless of their cause. In the United States alone, floods cause billions of dollars in property damage, with an estimate exceeding $78 billion due to fluvial floods …

Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect

The phenology of a landscape is a key parameter in climate and biogeochemical cycle models and its correct representation is central to the accurate simulation of carbon, water and energy exchange between the land surface and the atmosphere. Whereas …

Remotely sensed forest cover loss shows high spatial and temporal variation across Sumatera and Kalimantan, Indonesia 2000–2008

The Indonesian islands of Sumatera and Kalimantan (the Indonesian part of the island of Borneo) are a center of significant and rapid forest cover loss in the humid tropics with implications for carbon dynamics, biodiversity conservation, and local …

Adapting a global stratified random sample for regional estimation of forest cover change derived from satellite imagery

A desirable feature of a global sampling design for estimating forest cover change based on satellite imagery is the ability to adapt the design to obtain precise regional estimates, where a region may be a country, state, province, or conservation …

A comparison of sampling designs for estimating deforestation from Landsatimagery: A case study of the Brazilian Legal Amazon

Three sampling designs —simple random, stratified random, and systematic sampling —are compared onthe basis of precision of estimated loss of intact humid tropical forest area in the Brazilian Legal Amazon from 2000 to 2005. The results of this case study demonstrate the utility of a stratified design based on MODIS-derived deforestationdata to improve precision of the estimated loss of intact forest area as estimated from sampling Landsat imagery.