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Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …
in terrestrial vegetation science, with emerging capability in space-based methodologies …
Significant remote sensing vegetation indices: A review of developments and applications
J Xue, B Su - Journal of sensors, 2017 - Wiley Online Library
Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
Leaf pigments provide valuable information about plant physiology. High resolution
monitoring of their dynamics will give access to better understanding of processes occurring …
monitoring of their dynamics will give access to better understanding of processes occurring …
Remote sensing and machine learning for crop water stress determination in various crops: a critical review
The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …
Hyperspectral sensors and imaging technologies in phytopathology: state of the art
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …
applications. Visual assessment by human raters is time-consuming, expensive, and error …
Unmanned Aerial System (UAS)-based phenoty** of soybean using multi-sensor data fusion and extreme learning machine
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenoty** in precision agriculture. Although fusion of data …
imperative for high-throughput phenoty** in precision agriculture. Although fusion of data …
Urban tree classification based on object-oriented approach and random forest algorithm using unmanned aerial vehicle (UAV) multispectral imagery
Q Guo, J Zhang, S Guo, Z Ye, H Deng, X Hou… - Remote Sensing, 2022 - mdpi.com
Timely and accurate information on the spatial distribution of urban trees is critical for
sustainable urban development, management and planning. Compared with satellite-based …
sustainable urban development, management and planning. Compared with satellite-based …