[HTML][HTML] NDVI threshold-based urban green space mapping from sentinel-2A at the Local Governmental Area (LGA) level of victoria, Australia

J Aryal, C Sitaula, S Aryal - Land, 2022 - mdpi.com
Obtaining accurate, precise and timely spatial information on the distribution and dynamics
of urban green space is crucial in understanding livability of the cities and urban dwellers …

Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China

Z Cai, H Wei, Q Hu, W Zhou, X Zhang, W Jin… - ISPRS Journal of …, 2023 - Elsevier
Accurate information on crop type spatial distributions is crucial for yield estimation,
agroecological modeling, and agrarian policy development. In comparison with moderate …

Comprehensive evaluation of Sentinel-2 red edge and shortwave-infrared bands to estimate soil moisture

Y Liu, J Qian, H Yue - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
This article aims to explore the applicability of SMMI (soil moisture monitoring index),
MSMMI (modified soil moisture monitoring index), PDI (perpendicular drought index), and …

[HTML][HTML] High Spatial Resolution Fractional Vegetation Coverage Inversion Based on UAV and Sentinel-2 Data: A Case Study of Alpine Grassland

G Zhong, J Chen, R Huang, S Yi, Y Qin, H You, X Han… - Remote Sensing, 2023 - mdpi.com
Fractional vegetation coverage (FVC) is an important indicator of ecosystem change. At
present, FVC products are mainly concentrated at low and medium spatial resolution and …

[HTML][HTML] A comparison of estimating crop residue cover from sentinel-2 data using empirical regressions and machine learning methods

Y Ding, H Zhang, Z Wang, Q Xie, Y Wang, L Liu… - Remote Sensing, 2020 - mdpi.com
Quantifying crop residue cover (CRC) on field surfaces is important for monitoring the tillage
intensity and promoting sustainable management. Remote-sensing-based techniques have …

[HTML][HTML] A machine learning approach for mapping forest vegetation in riparian zones in an Atlantic Biome Environment using Sentinel-2 imagery

DEG Furuya, JAF Aguiar, NV Estrabis, MMF Pinheiro… - Remote Sensing, 2020 - mdpi.com
Riparian zones consist of important environmental regions, specifically to maintain the
quality of water resources. Accurately mapping forest vegetation in riparian zones is an …

Classification of paddy rice using a stacked generalization approach and the spectral mixture method based on MODIS time series

M Zhang, H Zhang, X Li, Y Liu, Y Cai… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Paddy rice is a major stable food, accounting for about 20% world's food supply. And the rice
paddy, an important artificial wetland type, plays an important role in the regional ecological …

[HTML][HTML] Classifying Mountain Vegetation Types Using Object-Oriented Machine Learning Methods Based on Different Feature Combinations

X Fu, W Zhou, X Zhou, F Li, Y Hu - Forests, 2023 - mdpi.com
Mountainous vegetation type classification plays a fundamental role in resource
investigation in forested areas, making it necessary to accurately identify mountain …

[HTML][HTML] Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite

Z Deng, Z Lu, G Wang, D Wang, Z Ding, H Zhao… - Open …, 2021 - degruyter.com
The red edge band is considered as one of the diagnosable characteristics of green plants,
but the large-scale remote sensing retrieval of fractional vegetation coverage (FVC) based …

[HTML][HTML] Sensing Travel Source–Sink Spatiotemporal Ranges Using Dockless Bicycle Trajectory via Density-Based Adaptive Clustering

Y Shi, D Wang, X Wang, B Chen, C Ding, S Gao - Remote Sensing, 2023 - mdpi.com
The travel source–sink phenomenon is a typical urban traffic anomaly that reflects the
imbalanced dissipation and aggregation of human mobility activities. It is useful for …