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南京农业大学农学院《IEEE Transactions on Geoscience and Remote Sensing》发表智慧农业团队“Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data”（图）
智慧农业 智能解析 遗传育种
2024/6/11
作物表型高通量获取和智能解析为高效精准筛选优良种质资源提供技术支撑。2024年来，南京农业大学农学院智慧农业团队的作物表型监测组师生,利用地基激光雷达量化小麦冠层的叶角分布，取得了突破性进展。研究结果2024年4月4日以“Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data”为题，发表...
Monitoring intra-annual and interannual variability in spatial distribution of plastic-mulched citrus in cloudy and rainy areas using multisource remote sensing data（图）
Monitoring intra-annual interannual variability spatial distribution plastic-mulched citrus
2024/4/1
The technology of canopy plastic mulching has been widely used in citrus orchards for protecting fruit trees from cold damage. Understanding the spatio-temporal dynamics of plastic-mulched citrus (PMC...
Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images
rapeseed lodging angles lodging phenotyping UAV images
2024/4/1
Crop lodging detrimentally affects crop yield and mechanical harvest efficiency. Traditional remote sensing-based methods primarily focus on the identification and area extraction of lodging using ima...
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
Mangroves Aboveground biomass UAV-LiDAR Sentinel-2 Random forest
2024/1/23
The mangrove forests of northeast Hainan Island are the most species diverse forests in China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial Nature Reserve. The former ...
Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data
Space-borne imagery Stereogrammetry Boreal forest structure Biomass mapping Open data
2024/1/22
Boreal forests constitute a large portion of the global forest area, yet they are undersampled through field surveys, and only a few remotely sensed data sources provide structural information wall-to...
Forests Growth Monitoring Based on Tree Canopy 3D Reconstruction Using UAV Aerial Photogrammetry
UAV aerial photography forest monitoring canopy 3D model
2024/1/22
Land cover monitoring is a major task for remote sensing. Compared to traditional methods of forests monitoring which mostly use orthophotography from satellites or aircraft, there is very little rese...
Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests
Forestry Structural engineering Measurement Laser radar Predictive models
2024/1/19
Developing an accurate model for estimating the forest structural parameters of planted forests is crucial for forest productivity predictions and can provide a better understanding of the carbon cycl...
Fine scale plant community assessment in coastal meadows using UAV based multispectral data
Coastal plant communities UAV Vegetation indices Random forests Unsupervised classification
2024/1/19
Coastal meadows worldwide are subjected to habitat degradation due to abandonment, intensification and the impacts of global change. In order to protect and restore these habitats and ensure the suppl...
Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data
East Rennell World Heritage Site (ERWHS) vegetation cover forest cover dynamic monitoring multi-sources remote sensing data
2024/1/19
East Rennell of Solomon Island is the first natural site under customary law to be inscribed on UNESCO's World Heritage List. Potential threats due to logging, mining and agriculture led to the site b...
Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques
floods Landsat-8 remote sensing GIS disaster mapping damage assessment Lower Chenab Plain
2024/1/19
In flood-prone areas, the delineation of the spatial pattern of historical flood extents, damage assessment, and flood durations allow planners to anticipate potential threats from floods and to formu...
Grouping-Based Time-Series Model for Monitoring of Fall Peak Coloration Dates Using Satellite Remote Sensing Data
phenology monitoring fall foliage coloration grouping-based time-series analysis spatial and temporal scale optical remote sensing
2024/1/12
Accurate monitoring of plant phenology is vital to effective understanding and prediction of the response of vegetation ecosystems to climate change. Satellite remote sensing is extensively employed t...
Using unmanned aerial vehicle for identifying the vegetative vigor and quantify the area occupied by eucalyptus sprouts after chemical weeding in the state of Bahia, Brazil
Geotechnology Health of plants Precision?forestry Supervised classification
2024/1/12
Currently, the efficiency of chemical weeding for controlling eucalyptus sprouts is measured by field sampling, but the inefficiency of the sampling methods has led to the investigation of new technol...
Using Direct and Indirect Methods to Assess Changes in Riparian Habitats
riparian forest environmental changes soil moisture Ellenberg’s indicator values field measurements
2023/12/21
Hydrological regime disturbances in riparian ecosystems affect the interactions between soil properties and vegetation. The proper assessment of changes occurring in river valley forests is a basis fo...
Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms
precision agriculture field crops machine learning deep learning image processing textural features
2023/12/21
The current mainstream approach of using manual measurements and visual inspections for crop lodging detection is inefficient, time-consuming, and subjective. An innovative method for wheat lodging de...
Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan
UAS stem volume TLS SAR random forest support vector multiple regression forest biophysical parameter
2023/12/21
The development of new methods for estimating precise forest structure parameters is essential for the quantitative evaluation of forest resources. Conventional use of satellite image data, increasing...