Results 51 to 60 of about 13,003 (225)

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

Decision-level fusion of Sentinel-1 SAR and Landsat 8 OLI texture features for crop discrimination and classification: case of Masvingo, Zimbabwe

Heliyon, 2020
Radar imagery have few polarization bands which can limit the ability to do traditional digital classification. Harmonization of Sentinel-1 and Landsat 8 data despite having complementary texture information can be a challenge.
Shengbo Chen, Juliana Useya, Hillary Mugiyo   +2 more
doaj   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source

Enhancing maize streak virus detection: a comparative analysis of Sentinel-2 MSI and Landsat 9 OLI data across vegetative and reproductive growth stages

Geocarto International
Maize streak virus (MSV) threatens food production in Africa and globally. This study evaluates the effectiveness of Sentinel-2 MSI and Landsat 9 in detecting MSV-infected maize at different growth stages in Ofcolaco farms, Tzaneen, South Africa, using ...
Thabiso Jack Choshi, Inos Dhau, Frederick Mashao   +2 more
doaj   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Gap-filling of land surface temperature in arid regions by combining Landsat 8 and 9 imageries

Environmental Research Communications
Land surface temperature (LST) is an important factor in land monitoring studies, but due to the presence of clouds, dust and sensor issues, there are missing values.
Fahime Arabi Aliabad, Ebrahim Ghaderpour, Ahmad Mazidi, Fatemeh Houshmandzade   +3 more
doaj   +1 more source

Crop Classification Based on the Fusion of GF-1 and Landsat 9 Satellite Images

Taiyuan Ligong Daxue xuebao
Purposes In this study, the possibility of improving classification accuracy for crop type identification is examined with data fusion technology. Methods The GF-1 and Landsat 9 images were used to perform data fusion for crop type classification in ...
ZENG Weili, SU Qiaomei, FAN Jinlong, PAN Rong, LIAO Yuejiao, SONG Ying   +5 more
doaj   +1 more source

Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico

Remote Sensing in Ecology and Conservation, EarlyView.
Land cover change that leads to increased nutrient and sediment runoff is an important driver of change in coral reef ecosystems. In this study, we combined satellite remote sensing and field monitoring to assess concomitant changes in watershed land cover and coral cover in northeastern Puerto Rico in 2000–2015.
Pirta Palola, Sasha Hills, Simon J. Pittman, Edwin A. Hernández‐Delgado, Antoine Collin, Lisa M. Wedding   +5 more
wiley   +1 more source

Historical remote sensing highlights long‐term persistence of Emperor Penguin (Aptenodytes forsteri) colonies

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, Michelle LaRue, Benjamin M. Kraemer, Catalina Munteanu   +3 more
wiley   +1 more source

Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia

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, Emma Asbridge, Jeffrey J. Kelleway, Richard Lucas, Kerrylee Rogers   +4 more
wiley   +1 more source