Results 301 to 310 of about 270,892 (351)

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Propagation patterns of hydrological droughts in the source region of Yellow River: Insights from standardized versus threshold‐based approaches

River, EarlyView.
Abstract Understanding the propagation patterns of hydrological droughts is crucial for drought prevention, disaster mitigation, and water resource management. Two common methodological frameworks are employed: standardized indices, represented by the Standardized Streamflow Index (SSI), and threshold‐based (non‐standardized) indices, represented by ...
Jiefeng Wu, Huaxia Yao, Pengyu An, Qiangkun Li, Jinxu Han, Dejian Zhang, Xuemei Li, Guoqing Wang   +7 more
wiley   +1 more source

Biophysical mechanisms and control characteristics of Caatinga evapotranspiration in years of extreme drought

, 2020
Thiago V. Marques
openalex   +1 more source

Surface roughness measurements using UAV LiDAR and analysis of uncertainty factors

River, EarlyView.
Abstract Surface root mean square height (SRMSH) is a key parameter characterizing surface roughness; it reflects soil hydrological properties and influences related physical processes. LiDAR offers an effective means for measuring SRMSH over large areas, yet the method involves several uncertainty factors that require further investigation.
Xiangdong Qin, Zhiguo Pang, Jingxuan Lu
wiley   +1 more source

Extreme Floods and Droughts under Future Climate Scenarios [PDF]

, 2019
openaire   +1 more source

Extreme Drought around 900ka in Southwestern Iberia: Insights from IODP Pollen Records

X. Quan, María F. Sánchez Goñi, Paul Moal-Darrigade, Qiuzhen Yin, Josué M. Polanco-Martínez, Stefanie Kaboth-Bahr, André Bahr, Lucas Lourens, The 7th PAGES Open Science Meeting   +8 more
openalex   +1 more source

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Extreme drought deactivates ABA biosynthesis

2022
The phytohormone abscisic acid (ABA) is synthesized by plants during drought to close stomata and regulate desiccation tolerance pathways. In conifers and a few angiosperms with embolism resistant xylem a peaking-type (p-type) response in ABA levels has been observed, in which ABA levels increase early in drought then decrease as drought progresses ...
Joel A. Mercado-Reyes, Scott McAdam
openaire   +1 more source

A joint extreme index for compound droughts and hot extremes

Theoretical and Applied Climatology, 2020
The past decades have witnessed a surge in the study of compound droughts and hot extremes, which are among the most stressful weather and climate extremes with disastrous impacts. A suitable tool for tracking properties of compound droughts and hot extremes taking into account their dependence is desirable.
Zengchao Hao, Fanghua Hao, Vijay P. Singh, Wei Ouyang, Xuan Zhang, Silong Zhang   +5 more
openaire   +1 more source

Recurrent Mild Drought Events Increase Resistance Toward Extreme Drought Stress

Ecosystems, 2014
The frequency and magnitude of extreme weather events such as drought are expected to increase in the future. At present, plant responses to recurrent extreme events have been sparsely examined and the role of stress history on subsequent stress response has been widely neglected.
Sabrina Backhaus, Juergen Kreyling, Kerstin Grant, Carl Beierkuhnlein, Julia Walter, Anke Jentsch   +5 more
openaire   +1 more source