Results 31 to 40 of about 334,339 (267)

Assessing Spatio-Temporal Changes in the Ecological Livability Index (Case Study: Tabriz Metropolis ) [PDF]

برنامه ریزی فضایی
A timely and comprehensive assessment of the urban ecological environment and its evolving trends is essential for urban planning, human habitation, and sustainable urban development.
Sajjad Moshiri, Ahmad Nikdel Monavvar, MohammadReza Jebraily, Iraj Teimouri, Khalil Valizadeh Kamran, bakhtiar feizizadeh   +5 more
doaj   +1 more source

Soil Moisture Dominates the Forest Productivity Decline During the 2022 China Compound Drought‐Heatwave Event

Geophysical Research Letters, 2023
Compound drought‐heatwave (CDHW) events threaten ecosystem productivity and are often characterized by low soil moisture (SM) and high vapor pressure deficit (VPD).
Dayang Zhao, Zhaoying Zhang, Yongguang Zhang   +2 more
doaj   +1 more source

Downscaling Aster Land Surface Temperature over Urban Areas with Machine Learning-Based Area-To-Point Regression Kriging

Remote Sensing, 2020
Land surface temperature (LST) is a vital physical parameter of earth surface system. Estimating high-resolution LST precisely is essential to understand heat change processes in urban environments.
Jianhui Xu, Feifei Zhang, Hao Jiang, Hongda Hu, Kaiwen Zhong, Wenlong Jing, Ji Yang, Binghao Jia   +7 more
doaj   +1 more source

Global Container Port Network Linkages and Topology in 2021

Sensors, 2022
The maritime transport of containers between ports accounts for the bulk of global trade by weight and value. Transport impedance among ports through transit times and port infrastructures can, however, impact accessibility, trade performance, and the ...
Lu Kang, Wenzhou Wu, Hao Yu, Fenzhen Su
doaj   +1 more source

Offshore Platform Extraction Using RadarSat-2 SAR Imagery: A Two-Parameter CFAR Method Based on Maximum Entropy

Entropy, 2019
The ability to determine the number and location of offshore platforms is of great significance for offshore oil spill monitoring and offshore oil and gas development.
Qi Wang, Jing Zhang, Fenzhen Su
doaj   +1 more source

Sugarcane Mapping and Harvest Monitoring using ML and Google Earth Engine [PDF]

E3S Web of Conferences
The increasing global population intensifies the pressure on food production, necessitating optimized agricultural practices. This study explores the potential of remote sensing and machine learning to enhance sugarcane identification, mapping, and ...
Awan Ala Ud Din, Mustafa Muhammad Hasan, Tahir Ali, Mazhar Yusra, Chertovitskiy Aleksandr, Narbaev Sharafatdin   +5 more
doaj   +1 more source

Analysing the uncertainty of estimating forest carbon stocks in China [PDF]

Biogeosciences, 2016
Earth surface systems are controlled by a combination of global and local factors, which cannot be understood without accounting for both the local and global components.
T. X. Yue, Y. F. Wang, Z. P. Du, M. W. Zhao, L. L. Zhang, N. Zhao, M. Lu, G. R. Larocque, J. P. Wilson   +8 more
doaj   +1 more source

B-FGC-Net: A Building Extraction Network from High Resolution Remote Sensing Imagery

Remote Sensing, 2022
Deep learning (DL) shows remarkable performance in extracting buildings from high resolution remote sensing images. However, how to improve the performance of DL based methods, especially the perception of spatial information, is worth further study. For
Yong Wang, Xiangqiang Zeng, Xiaohan Liao, Dafang Zhuang   +3 more
doaj   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte, Hannah Koch, Olivia A. Coughlin, Jillian R. Bouck, Allie Carter, Seethal A. Jacob   +5 more
wiley   +1 more source

Mapping Global Environmental Suitability for Sorghum bicolor (L.) Moench

Energies, 2019
Sorghum bicolor (L.) Moench, called sweet sorghum, is a drought-resistant and heat-tolerant plant used for ethanol bioenergy production, and is able to reduce the competition between growing crops for energy vs. growing crops for food.
Dong Jiang, Tian Ma, Fangyu Ding, Jingying Fu, Mengmeng Hao, Qian Wang, Shuai Chen   +6 more
doaj   +1 more source