Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A review of spectral indices for mangrove remote sensing
Mangrove ecosystems provide critical goods and ecosystem services to coastal
communities and contribute to climate change mitigation. Over four decades, remote …
communities and contribute to climate change mitigation. Over four decades, remote …
A comprehensive review of high throughput phenoty** and machine learning for plant stress phenoty**
T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenoty** various biotic and abiotic stresses throughout the …
multiple sensors for phenoty** various biotic and abiotic stresses throughout the …
A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
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 …
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Background Above-ground biomass (AGB) is a basic agronomic parameter for field
investigation and is frequently used to indicate crop growth status, the effects of agricultural …
investigation and is frequently used to indicate crop growth status, the effects of agricultural …
Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery
Timely and non-destructive assessment of crop yield is an essential part of agricultural
remote sensing (RS). The development of unmanned aerial vehicles (UAVs) has provided a …
remote sensing (RS). The development of unmanned aerial vehicles (UAVs) has provided a …
[HTML][HTML] Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities
Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …
agriculture, forestry and other land surface systems. In a changing world scenario, the …
[HTML][HTML] Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery
The use of a low-cost five-band multispectral camera (RedEdge, MicaSense, USA) and a
low-altitude airborne platform is investigated for the detection of plant stress caused by …
low-altitude airborne platform is investigated for the detection of plant stress caused by …
Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery
M Maimaitijiang, V Sagan, P Sidike… - ISPRS journal of …, 2019 - Elsevier
Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …
and high-throughput phenoty**. Recent technological advances in Unmanned Aerial …
[HTML][HTML] Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial-and temporal resolutions
Detecting disease-or insect-infested forests as early as possible is a classic application of
remote sensing. Under conditions of climate change and global warming, outbreaks of the …
remote sensing. Under conditions of climate change and global warming, outbreaks of the …