Results 91 to 100 of about 138,587 (274)

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

Fisheye Photogrammetry to Survey Narrow Spaces in Architecture and a Hypogea Environment [PDF]

, 2018
Nowadays, the increasing computation power of commercial grade processors has actively led to a vast spreading of image-based reconstruction software as well as its application in different disciplines.
Baiocchi, Valerio, Barazzetti, Luigi, Del Pizzo, Silvio, Fassi, Francesco, Giannone, Francesca, Perfetti, Luca, Polari, Carlo, Previtali, Mattia, Roncoroni, Fabio, Troisi, Salvatore   +9 more
core   +2 more sources

Impact of parameterization in multiple acoustic index comparisons: practical cases in terrestrial and underwater soundscapes

Remote Sensing in Ecology and Conservation, EarlyView.
Parameter choices in acoustic analyses (sampling frequency, FFT size and window overlap) strongly influence multivariate soundscape separation. Using terrestrial and coral reef recordings, we show that these settings can exaggerate or mask ecological differences, emphasizing the need for parameter sensitivity testing and transparent reporting in ...
Juan C. Azofeifa‐Solano, Miles J. G. Parsons, James Kemp, Rohan M. Brooker, Robert D. McCauley, Shyam Madhusudhana, Mathew Wyatt, Stephen D. Simpson, Christine Erbe   +8 more
wiley   +1 more source

3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The field of visual localization has been researched for several decades and has meanwhile found many practical applications. Despite the strong progress in this field, there are still challenging situations in which established methods fail.
V. Ress, J. Meyer, J. Meyer, W. Zhang, D. Skuddis, U. Soergel, N. Haala   +6 more
doaj   +1 more source

On the compatibility of single‐scan terrestrial LiDAR with digital photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes

Remote Sensing in Ecology and Conservation, EarlyView.
The single‐scan approach to terrestrial laser scanning (TLS) and the self‐terrain‐normalized form of drone‐based digital aerial photogrammetry (DAP) offer practical options for rapid assessment of the vegetation structure in tropical landscapes.
Magnus Onyiriagwu, Nereoh Leley, Caleb W. T. Ngaba, Anthony Macharia, Henry Muchiri, Abdalla Kisiwa, Martin Ehbrecht, Delphine Clara Zemp   +7 more
wiley   +1 more source

Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements

Forest Ecosystems, 2019
Background Lately, terrestrial point clouds have drawn attention as a new data source for in situ forest investigations. So far, terrestrial laser scanning (TLS) has the highest data quality among all terrestrial point cloud data in terms of geometric ...
Xinlian Liang, Yunsheng Wang, Jiri Pyörälä, Matti Lehtomäki, Xiaowei Yu, Harri Kaartinen, Antero Kukko, Eija Honkavaara, Aimad E. I. Issaoui, Olli Nevalainen, Matti Vaaja, Juho-Pekka Virtanen, Masato Katoh, Songqiu Deng   +13 more
doaj   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source

Airborne laser topographic mapping results from initial joint NASA/US Army Corps of Engineers experiment [PDF]

Initial results from a series of joint NASA/US Army Corps of Engineers experiments are presented. The NASA Airborne Oceanographic Lidar (AOL) was exercised over various terrain conditions, collecting both profile and scan data from which river basin ...
Butler, M. L., Collins, J. G., Krabill, W. B., Swift, R. N.   +3 more
core   +1 more source

Benchmark of machine learning methods for classification of a Sentinel-2 image [PDF]

, 2016
Thanks to mainly ESA and USGS, a large bulk of free images of the Earth is readily available nowadays. One of the main goals of remote sensing is to label images according to a set of semantic categories, i.e. image classification.
Piragnolo, Marco, Pirotti, Francesco, Sunar, AYSE FILIZ   +2 more
core   +1 more source

Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite, François Poisson, Irati Abascal, Javier Menéndez‐Blázquez, Clara Cánovas Pérez, Sofia Conti, Ricardo Sagarminaga, Juan Antonio Raga, David March   +8 more
wiley   +1 more source