Results 31 to 40 of about 7,941,890 (294)

Fine-scale monitoring of emergent plant based on spatiotemporal-spectral fusion

open access: yesInternational Journal of Digital Earth
Wetland ecosystems have suffered from prolonged and severe global degradation. In recent years, wetland restoration has made significant contributions to addressing this issue. However, restoration interventions have induced complex and dynamic shifts in
Yifei Han   +7 more
doaj   +1 more source

Long-term wetland mapping at 10 m resolution using super-resolution and hierarchical classification – a case study in Jianghan Plain, China

open access: yesInternational Journal of Digital Earth
Wetland is a critical and complex ecosystem but highly susceptible to human activities. It has experienced significant change along with the increase of human intervention since decades ago.
Yifei Han   +8 more
doaj   +1 more source

Comparison of Cloud-Mask Algorithms and Machine-Learning Methods Using Sentinel-2 Imagery for Mapping Paddy Rice in Jianghan Plain

open access: yesRemote Sensing
Southern China, one of the traditional rice production bases, has experienced significant declines in the area of rice paddy since the beginning of this century.
Xinyi Gao   +5 more
doaj   +1 more source

Integrated Analysis to Obtain Potential Prognostic Signature in Glioblastoma

open access: yesFrontiers in Integrative Neuroscience, 2022
Glioblastoma multiforme (GBM) is the most malignant and multiple tumors of the central nervous system. The survival rate for GBM patients is less than 15 months.
Jia-Qi Chen   +6 more
doaj   +1 more source

BSA - exact algorithm computing LTS estimate

open access: yes, 2010
The main result of this paper is a new exact algorithm computing the estimate given by the Least Trimmed Squares (LTS). The algorithm works under very weak assumptions.
Agulló   +13 more
core   +1 more source

Monitoring Annual Forest Cover Fraction Change During 2000-2020 in China's Han River Basin Using Time-Series MODIS NDVI, VCF and Spatio-Temporal Regression

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
While it is crucial to monitor the spatio-temporal dynamics of forests at the subpixel scale, most available nonlinear methods are used to predict forest cover fraction maps only at the acquisition time of the training samples and are, thus, unable to ...
Xinyan Zhong   +6 more
doaj   +1 more source

Automatic Mapping of 10 m Tropical Evergreen Forest Cover in Central African Republic with Sentinel-2 Dynamic World Dataset

open access: yesRemote Sensing
Tropical evergreen forests represent the richest biodiversity in terrestrial ecosystems, and the fine spatial-temporal resolution mapping of these forests is essential for the study and conservation of this vital natural resource. The current methods for
Wenqiong Zhao   +5 more
doaj   +1 more source

A pyroptosis-associated gene risk model for predicting the prognosis of triple-negative breast cancer

open access: yesFrontiers in Oncology, 2022
BackgroundPyroptosis is a novel identified form of inflammatory cell death that is important in the development and progression of various diseases, including malignancies.
Pengjun Qiu   +4 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS [PDF]

open access: yesEngenharia Agrícola, 2017
: Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via Artificial Neural Networks (ANNs ...
Walison B. Alves   +2 more
doaj   +1 more source

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