Results 61 to 70 of about 643,359 (305)

Land use/cover classification in the Brazilian Amazon using satellite images

Pesquisa Agropecuária Brasileira, 2012
Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environment ...
Dengsheng Lu, Mateus Batistella, Guiying Li, Emilio Moran, Scott Hetrick, Corina da Costa Freitas, Luciano Vieira Dutra, Sidnei João Siqueira Sant'Anna   +7 more
doaj   +1 more source

Texture classification of Mediterranean land cover

International Journal of Applied Earth Observation and Geoinformation, 2007
Maximum likelihood (ML) and artificial neural network (ANN) classifiers were applied to three Landsat Thematic Mapper (TM) image sub-scenes (termed urban, agricultural and semi-natural) of Cukurova, Turkey. Inputs to the classifications comprised (i) spectral data and (ii) spectral data in combination with texture measures derived on a per-pixel basis.
Berberoglu, S., Curran, P.J., Lloyd, Christopher, Atkinson, P.M.   +3 more
openaire   +2 more sources

The roles of textural images in improving land-cover classification in the Brazilian Amazon. [PDF]

, 2014
Texture has long been recognized as valuable in improving land-cover classification, but how data from different sensors with varying spatial resolutions affect the selection of textural images is poorly understood. This research examines textural images
BATISTELLA, M., DUTRA, L., LI, G., LU, D., MORAN, E.   +4 more
core   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

InSAR coherence-based land cover classification of Okara, Pakistan

Egyptian Journal of Remote Sensing and Space Sciences, 2018
Reliable and current availability of land cover knowledge are essential for many studies regarding planning, management, monitoring and updating activities. The optical satellite sensor data has been utilized for the classification of land use/land cover.
Rao Zahid Khalil, Saad-ul-Haque
doaj   +1 more source

IRANIAN LAND COVER MAPPING USING LANDSAT-8 IMAGERY AND RANDOM FOREST ALGORITHM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Land cover classification is important for various environmental assessments. The opportunity of imaging the Earth’s surface makes remote sensing techniques efficient approaches for land cover classification.
M. Amani, A. Ghorbanian, S. Mahdavi, A. Mohammadzadeh   +3 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Land Use Hotspots of the Two Largest Landlocked Countries: Kazakhstan and Mongolia

Remote Sensing, 2022
As the two largest landlocked countries, Kazakhstan and Mongolia have similar biophysical conditions and socioeconomic roots in the former Soviet Union. Our objective is to investigate the direction, extent, and spatial variation of land cover change at ...
Jing Yuan, Jiquan Chen, Pietro Sciusco, Venkatesh Kolluru, Sakshi Saraf, Ranjeet John, Batkhishig Ochirbat   +6 more
doaj   +1 more source

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

Advanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su, Zhentao Zhang, Jin Zhao, Xia Liang, Chuang Zhao, Zhijuan Liu, Minghao Zhuang, Jing Sun, Bo Lu, Ke Liu, Johannes W. M. Pullens, Matthew T. Harrison, Deli Chen, Xiaoguang Yang   +13 more
wiley   +1 more source

Coupled Above‐ and Belowground Ecosystem Stability Worldwide

Advanced Science, EarlyView.
Are the worlds above and below our feet in sync? This global exploration reveals an entangled fate between above‐ and belowground ecosystem stability. It identifies arid regions as hotspots for this coupling and highlights temperature stability as a vital safeguard for maintaining ecosystem balance across our warming planet.
Zexin Meng, Huiwen Li, Yiping Wu, Peter B. Reich, Nico Eisenhauer, Diego Abalos, Daniel Revillini, Shuguang Liu, Wende Yan, Ji Chen, Alexey Voinov, Zhifeng Yang, Ying‐Ping Wang, Fubo Zhao, Linjing Qiu, Jingfeng Xiao, Shantao An, Guopeng Liang, Manuel Delgado‐Baquerizo   +18 more
wiley   +1 more source