Spatio-Temporal Net Primary Productivity Prediction in Western Sanjiangyuan Region Using Deep Learning with Spatial Aggregation Model and Non-Local Attention Mechanism

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Remote Sensing Applications Society and Environment

• Publication date

  2025-09-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.rsase.2025.101714
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Prediction of Aerodynamic Forces at the Tip of the Compressor Blades Based on Multi-scale 1DCNN Combined with CBAM

  2024cited by this paper
• ConvLSTM–ViT: A Deep Neural Network for Crop Yield Prediction Using Earth Observations and Remotely Sensed Data

  2024cited by this paper
• Machine learning-based prediction and assessment of recent dynamics of forest net primary productivity in Romania.

  2023cited by this paper
• Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables

  2022cited by this paper
• Landslide Displacement Prediction via Attentive Graph Neural Network

  2022cited by this paper
• Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method

  2022cited by this paper
• An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

  2021cited by this paper
• Temporal-spatial variations of NPP and its climatic driving mechanism in the Three Gorges Reservoir Area based on modified CASA model

  2021cited by this paper
• Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions

  2021cited by this paper
• Intensified risk to ecosystem productivity under climate change in the arid/humid transition zone in northern China

  2021cited by this paper
• Grassland dynamics in responses to climate variation and human activities in China from 2000 to 2013.

  2019cited by this paper
• Global urban expansion offsets climate-driven increases in terrestrial net primary productivity

  2019cited by this paper
• Response of net primary production to land use and climate changes in the middle‐reaches of the Heihe River Basin

  2019cited by this paper
• Roles of Climate Change and Increasing CO2 in Driving Changes of Net Primary Productivity in China Simulated Using a Dynamic Global Vegetation Model

  2019cited by this paper
• Multivariate analyses of the vegetation of the western Himalayan forests of Muzaffarabad district, Azad Jammu and Kashmir, Pakistan

  2019cited by this paper
• Response of net primary production to land use and land cover change in mainland China since the late 1980s.

  2018cited by this paper
• Assessing the characteristics of net primary production due to future climate change and CO2 under RCP4.5 in China

  2018cited by this paper
• The Observed Impacts of Wind Farms on Local Vegetation Growth in Northern China

  2017cited by this paper
• Estimating crop yield using a satellite-based light use efficiency model

  2016cited by this paper
• The rapid and massive urban and industrial land expansions in China between 1990 and 2010: A CLUD-based analysis of their trajectories, patterns, and drivers

  2016cited by this paper
• Modeling net primary productivity of terrestrial ecosystems in the semi-arid climate of the Mongolian Plateau using LSWI-based CASA ecosystem model

  2016cited by this paper
• Projecting the dynamics of terrestrial net primary productivity in response to future climate change under the RCP2.6 scenario

  2015cited by this paper
• Ecological restoration and its effects on a regional climate: the source region of the Yellow River, China.

  2015cited by this paper
• Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation: Evaluation and calibration

  2011cited by this paper
• Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009

  2010cited by this paper
• Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

  2007cited by this paper
• ESTIMATION OF NET PRIMARY PRODUCTIVITY OF CHINESE TERRESTRIAL VEGETATION BASED ON REMOTE SENSING

  2007cited by this paper
• Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)

  2006cited by this paper
• Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999

  2003cited by this paper
• Terrestrial ecosystem production: A process model based on global satellite and surface data

  1993cited by this paper
• Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates

  1988cited by this paper
• SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMS

  1972cited by this paper
• A Computer Movie Simulating Urban Growth in the Detroit Region

  1970cited by this paper
• Forecasting Sales by Exponentially Weighted Moving Averages

  1960cited by this paper

• No citing papers are available for this paper.