Results 101 to 110 of about 179,229 (261)
Remote Sensing in Ecology and Conservation, EarlyView.Remote sensing can reveal population dynamics of Antarctic penguin colonies. In this study, we analyze emperor penguin (Aptenodytes forsteri) guano stains in remote sensing imagery and discover colony presence predating known records for 18 colonies across Antarctica.
Martynas Bielinis +3 more
wiley +1 more source
Earth Observations in Social Science Research for Management of Natural Resources and the Environment: Identifying the Contribution of the U.S. Land Remote Sensing (Landsat) Program [PDF]
This paper surveys and describes the peer-reviewed social science literature in which data from the U.S. land remote sensing program, Landsat, inform public policy in managing natural resources and the environment.
Macauley, Molly K.
core
Remote Sensing in Ecology and Conservation, EarlyView.Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves +4 more
wiley +1 more source
Cost effectiveness of conventional versus LANDSAT use data for hydrologic modeling [PDF]
Six case studies were analyzed to investigate the cost effectiveness of using land use data obtained from LANDSAT as opposed to conventionally obtained data.
George, T. S., Taylor, R. S.
core +1 more source
Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation [PDF]
, 2019 In recent years, many spatial and temporal satellite image fusion (STIF) methods have been developed to solve the problems of trade-off between spatial and temporal resolution of satellite sensors.
Chen, Xiuwan +4 more
core +1 more source
Sustainable Development, EarlyView.ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
An evaluation of a SIRA image to determine forest density under conditions of moderate topographical variation [PDF]
Many studies have shown that radar images have increased classification accuracy over spectral classifications using only LANDSAT Multispectral Band Scanner (MSS) images.
Adams, J., Smith, M.
core +1 more source
Sustainable Development, EarlyView.ABSTRACT Over the past few decades, the intensification of global warming has brought increased attention to urban thermal dynamics, particularly regarding Land Surface Temperature (LST) and the Urban Surface Heat Island (SUHI) effect. This study conducts a systematic literature review alongside a bibliometric analysis of 123 peer‐reviewed articles ...
David Hidalgo‐García +4 more
wiley +1 more source
State/federal interaction of LANDSAT system and related technical assistance [PDF]
The history of state involvement in LANDSAT systems planning and related efforts is described. Currently 16 states have visual LANDSAT capabilities and 10 others are planning on developing such capabilities.
Tesser, P. A.
core +1 more source