Results 121 to 130 of about 107,108 (274)

Remote sensing applications to hydrologic modeling in the southern Sierra Nevada and portions of the San Joaquin Valley, volume 1 [PDF]

The author has identified the following significant results. Characteristics of LANDSAT MSS imagery present problems in using satellite radiation measurements to estimate the shortwave albedo of an alpine snow cover.
Davis, R., Dozier, J., Estes, J. E., Frew, J., Gold, C., Keith, S., Marks, D., Simonett, D. S.   +7 more
core   +1 more source

Bee community and trait‐based responses to fire in a Mediterranean landscape

Insect Conservation and Diversity, EarlyView.
Fire drives a short‐term increase in bee abundance and diversity, despite its strong negative impact on floral resources. Acting as an environmental filter, fire shapes bee communities as increased post‐fire fine‐scale heterogeneity favors bees with specific functional traits such as ground‐nesting and generalist species.
Georgios Nakas, Aphrodite Kantsa, Lazaros Neokosmidis, Jelle Devalez, Thomas Tscheulin, Nikos Koutsias, Mark C. Mescher, Consuelo M. De Moraes, Theodora Petanidou   +8 more
wiley   +1 more source

Comparing the potentials of the different canola flower indices for canola mapping based on Landsat 9 images

All Earth
Mastering the changes in the planting area of crops are critical for formulating sustainable agricultural development strategies. The Landsat 9 satellite provides continuous observational data for crop mapping.
Haifeng Tian, Shuai Wang, Fangli Wu, Yaochen Qin, Xiwang Zhang, Li Wang, Jie Pei, Jiayi Liu, Mengdan Yang   +8 more
doaj   +1 more source

A comparison of classification techniques for monitoring and mapping land cover and land use changes in the subtropical region of Thai Nguyen, Vietnam : a thesis presented in partial fulfilment of the requirements for the degree of Master of Environmental Management at Massey University, Palmerston North, New Zealand [PDF]

, 2017
Deriving land cover/land-use information from earth observation satellite data is one of the most common applications for environmental monitoring, evaluation and management.
Tuyen, Ha Van
core  

Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network

, 2018
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i.e., the data usability is greatly reduced.
Li, Xinghua, Wei, Yancong, Yuan, Qiangqiang, Zeng, Chao, Zhang, Qiang   +4 more
core   +1 more source

Tree growth response and adaptation to climate change and climate extremes: From canopy to stem

Journal of Integrative Plant Biology, EarlyView.
This review synthesizes the responses and adaptations of tree growth, including canopy phenology, intra‐annual wood formation dynamics, and annual stem growth, to climate change and climate extremes. It highlights key knowledge gaps for future research to support sustainable forest management and enhance forest carbon storage under ongoing climate ...
Feiyu Yang, Leyao Zhu, Jiahao Cao, Fei Yang, Borbála Codogno, Qianqian Ma, Hanxue Liang, Wenjin Wang, Jian‐Guo Huang   +8 more
wiley   +1 more source

Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China

Frontiers in Environmental Science
Estimating above-ground biomass (AGB) is important for ecological assessment, carbon stock evaluation, and forest management. This research assesses the performance of the machine learning algorithms XGBoost, SVM, and RF using data from the Sentinel-2 ...
Jamshid Ali, Wang Haoran, Kaleem Mehmood, Wakeel Hussain, Farhan Iftikhar, Fahad Shahzad, Khadim Hussain, Yin Qun, Jia Zhongkui   +8 more
doaj   +1 more source

Water quality assessment of Loktak Lake, Manipur using Landsat 9 imagery

Water Practice & Technology
ABSTRACT The role of freshwater lakes in providing water resources and supporting ecosystems is essential. Monitoring water quality using remote sensing (RS) technologies is crucial for sustainable management practices. A study on Loktak Lake was done using RS algorithms to predict post-monsoon water quality.
Rajkumar Birendrakumar Singh, Ghanashyam Singh Yurembam, Deepak Jhajharia, B. C. Kusre   +3 more
openaire   +1 more source

Legacy effects of livestock grazing on vegetation of an arid landscape exist more than 30 years after livestock were excluded

Restoration Ecology, EarlyView.
Abstract Introduction Globally, livestock grazing is a key driver of vegetation degradation in arid rangelands. This degradation tends to be most severe near artificial water points which are focal points for livestock activity. Conservation reserves have been established on former rangelands; however, the timeframes for vegetation recovery following ...
Neil D. Ross, Adrian Fisher, Mike Letnic
wiley   +1 more source

Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning

Tropical Medicine &International Health, EarlyView.
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery, Nícholas de Paula Nicomedes, Pedro Cesar Madureira de Godoy Camargo, Sidney Alves de Outeiro, Leopoldo André Dutra Lusquino Filho, Claudio Miceli de Farias, Darllan Collins da Cunha e Silva   +6 more
wiley   +1 more source