Center For Remote Sensing (United States)

Mangrove canopy-height estimation using LiDAR and multispectral remote sensing: linking spatiotemporal species composition to restoration baselines

Canopy height is an important indicator of mangrove forest structure, ecological functioning, and restoration development; however, field measurements are spatially limited by cost, accessibility, and survey effort. This study mapped mangrove canopy height in Trat Province, Thail...

ESFire30: unravelling four decades of wildfire burned area data in peninsular Spain

Background Spain has experienced extensive wildfires over the past four decades, yet long-term, high-resolution spatially explicit burned area data covering the whole country are not available. Aims This study presents ESFire30, a burned area perimeter dataset for peninsular Spai...

Detection of linear deformation features in arctic landfast ice using InSAR and deep learning

Interferometric Synthetic Aperture Radar (InSAR) provides a powerful tool for observing landfast-ice deformation. Linear deformation features (LDFs) are narrow structures associated with fracture development in landfast ice. However, studies on the automated detection of LDFs fro...

Developing deep-learning models guided by semantics to colorize historical grayscale aerial imagery for land-cover classification

High-resolution historical aerial imagery is valuable for analyzing long-term land-cover and environmental change, but most deep-learning methods rely on multispectral or color data and cannot fully use grayscale archives. We developed a semantically guided framework that uses Op...

High-fidelity update method for multi-temporal point cloud models with semantic-geometric collaborative constraints

Abstract Local incremental updating of point cloud models remains a core challenge in urban digital governance, limited by two well-documented bottlenecks: inaccurate semantic boundary localization and pronounced seam artifacts in texture stitching across fused regions. To addres...

Multi-scale parallel time-stepping for 3D simulation of time-domain electromagnetic data with arbitrary transmitter waveforms

Abstract 3D time-domain electromagnetic (TEM) simulations typically employ sequential time stepping, requiring early-time calculations before late times, reducing parallelizability compared to frequency-domain methods. To address this issue, a decomposition method is developed to...

Projected westward advance of tropospheric formaldehyde over China

Economic development and population aggregation are driving the east-to-west spread of tropospheric formaldehyde (HCHO) in China; yet the historical trajectory and future threat of this westward migration remain poorly understood. Here, we analyze OMI satellite observations utili...

Dynamics of artificial aquaculture ponds in China from 2015 to 2025

Artificial aquaculture ponds (AAPs) play a critical role in ensuring food security, supporting rural economic development, and shaping ecological landscapes. Yet, a nationally consistent, high-resolution, and individual-scale dataset of these ponds has been unavailable, hindering...

Groundwater Variability Is Strongly Linked to Soil Temperature Across Global Aquifers

Abstract Groundwater plays a critical role in land‐atmosphere interactions by regulating soil moisture and surface energy fluxes, yet its contribution to land‐surface processes and heat extremes remains poorly quantified globally. Here, we combine observation‐based aquifer record...

Identification and Driving Factor Analysis of Non-Grain Conversion of Cultivated Land in Qian’an City Using High-Resolution Remote Sensing Images

Global food security remains under severe strain, and the conversion of cultivated land to non-grain uses poses a significant threat to the stability of food production capacity. Driven by mineral development and urbanization, the risk of non-grain conversion in resource-based co...