Search Results - "Vegetation classification"

Aquatic Vegetation Classification in Crab Ponds Using UAV Multispectral Imagery and a Multi-Scale Frequency-Spatial Collaborative Model.

Authors: Mao, Xing Dong, Jianbin Zhang, Xin et al.

Source: Remote Sensing. Jul2026, Vol. 18 Issue 14, p2269. 29p.

海口市迈雅河湿地建设生态适宜性评价.

Alternate Title: Ecological Suitability Evaluation of Maiya River Wetland Construction in Haikou City.

Authors: 刘晓鑫¹

Source: Journal of Anhui Agricultural Sciences. 6/28/2026, Vol. 54 Issue 12, p103-107. 5p.

Using Aerial LiDAR Data to Map Vegetation Structural Types in Arid and Semi-Arid Rangelands.

Authors: Ruscalleda-Alvarez, Jaume Page, Gerald F. M. Zdunic, Katherine et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1641. 23p.

Subjects: LIDAR, Vegetation classification, Arid regions, Range management, Fuzzy clustering technique, Remote sensing, Ecological assessment

Geographic Terms: Western Australia

Individual Tree Species Classification in a Mining Area of the Yellow River Basin Using UAV-Based LiDAR, Hyperspectral, and RGB Data.

Authors: Wang, Guo Nie, Sheng Xi, Xiaohuan et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1361. 32p.

Subjects: Vegetation classification, Machine learning, Visible spectra, Spectral imaging, Mineral industries, Remote sensing, Boosting algorithms

Geographic Terms: Yellow River (China)

Contribution to the study of the Türkiye vegetation: Phytosociology of the Bodrum (Muğla) Peninsula.

Authors: Aytepe, Hediye Aktaş Varol, Ömer

Source: Phytocoenologia. 2026, Vol. 52 Issue 4, p309-320. 12p.

A phytosociological overview on the Sarcopoterium spinosum (L.) Spach communities in Italy.

Authors: Tomaselli, Valeria Spampinato, Giovanni Bacchetta, Gianluigi et al.

Source: Phytocoenologia. 2026, Vol. 52 Issue 4, p279-294. 16p.

基于新一代中国植被图(1 : 50 万)方法的 漓江流域植被类型与分布.

Alternate Title: Vegetation types and distribution in the Lijiang River basin based on the new generation 1:500 000 China vegetation map compilation method.

Authors: 向悟生 王斌' 胡天宇 et al.

Source: Guihaia. Apr2026, Vol. 46 Issue 4, p575-585. 11p.

Prediction Model for Lightning-Ignited Fire Occurrence Across Different Vegetation Types.

Authors: Zhao, Yuxin Si, Liqing Du, Jianhua et al.

Source: Forests (19994907). Mar2026, Vol. 17 Issue 3, p315. 20p.

Using Machine Learning to Quantifying the Spread and Identification of Aquatic Species in a Water Body in Northeast Louisiana.

Authors: Sapkota, Subash Bhattacharjee, Joydeep

Source: Bios (0005-3155). 2026, Vol. 97 Issue 1, p28-36. 9p.

Land Cover Type Classification Using High-Resolution Orthophotomaps and Convolutional Neural Networks: Case Study of Tatra National Park.

Authors: Raczko, Edwin Kycko, Marlena Kluczek, Marcin

Source: Remote Sensing. Jan2026, Vol. 18 Issue 1, p114. 25p.

Subjects: Convolutional neural networks, Vegetation classification, Statistical reliability, Geospatial data, National parks & reserves, Environmental management, Machine learning, Plant identification

辽宁沙化区域植被类型及土壤特征.

Alternate Title: Vegetation Types and Soil Characteristics in Sandy Areas of Liaoning Province.

Authors: 王一凡 王 杨 陈 晴 et al.

Source: Journal of Anhui Agricultural Sciences. 2/15/2026, Vol. 54 Issue 3, p52-57. 6p.

A Preliminary Survey and Assessment of Rare Plant Communities of the Calcareous Tertiary of Mississippi and Alabama.

Authors: Kees, John¹ jck366@msstate.edu

Source: Castanea. Dec2025, Vol. 90 Issue 2, p205-260. 56p.

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Precise identification of individual tree species in urban areas with high canopy density by multi-sensor UAV data in two seasons.

Authors: Man, Qixia Dong, Pinliang Zhang, Baolei et al.

Source: International Journal of Digital Earth. Dec2025, Vol. 18 Issue 1, p1-22. 22p.

Multi-source remote sensing fusion for European tree species classification: Explore the role of GEE-derived indices by explainable AI.

Authors: Ganjirad, Mohammad Bagheri, Hossein

Source: Advances in Space Research. Aug2026, Vol. 78 Issue 3, p2442-2468. 27p.

Subjects: Remote sensing, Vegetation classification, Artificial intelligence, Ensemble learning

A PolSAR rotation model for crop classification and soil moisture retrieval in complex agricultural environments.

Authors: Han, Wentao Wang, Mingxu Huang, Dengshan et al.

Source: International Journal of Remote Sensing. Jun2026, Vol. 47 Issue 12, p5246-5267. 22p.

Subjects: Soil moisture, Vegetation classification, Optical polarization, Polarimetric remote sensing, Parameter estimation, Agricultural ecology, Remote sensing, Scattering (Mathematics)

Geographic Terms: Canada

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Classification of Quercus trojana forests in southeastern Europe and Türkiye.

Authors: Šilc, Urban Chytrý, Milan De Sanctis, Michele et al.

Source: Plant Biosystems. Oct2025, Vol. 159 Issue 5, p1174-1188. 15p.

Multi-Sensor NDVI Time Series for Crop and Fallow Land Classification in Khabarovsk Krai, Russia.

Authors: Illarionova, Lyubov Dubrovin, Konstantin Fomina, Elizaveta et al.

Source: Sensors (14248220). Sep2025, Vol. 25 Issue 18, p5746. 28p.

Land cover dynamics analyzation with google earth engine.

Authors: Babu, M. Sathvik Anuradha, T. Kiran, N. Venkat

Source: AIP Conference Proceedings. 2026, Vol. 3397 Issue 1, p1-7. 7p.