Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …
are being exposed to the highest temperatures historically recorded. Machine learning …
[HTML][HTML] Retrieval of chlorophyll content for vegetation communities under different inundation frequencies using UAV images and field measurements
Z Lao, B Fu, Y Wei, T Deng, W He, Y Yang, H He… - Ecological …, 2024 - Elsevier
Karst wetlands are an important type of wetland among the global karst areas that suffer
from serious ecosystem degradation. Chlorophyll content, an important parameter of …
from serious ecosystem degradation. Chlorophyll content, an important parameter of …
[HTML][HTML] A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery
ZQ Liao, YL Dai, W Han, QM Ketterings, JS Lu… - Journal of Integrative …, 2023 - Elsevier
The accurate and rapid estimation of canopy nitrogen content (CNC) in crops is the key to
optimizing in-season nitrogen fertilizer application in precision agriculture. However, the …
optimizing in-season nitrogen fertilizer application in precision agriculture. However, the …
联合星载高光谱影像和堆栈集成学习回归算法的红树林冠层叶绿素含量遥感反演
付波霖, 邓良超, 张丽, 覃娇玲, 刘曼… - Journal of Remote …, 2022 - search.ebscohost.com
English Mangroves are one of the most productive and valuable wetland ecosystems in the
world. Canopy Chlorophyll Content (CCC), as an important biophysical parameter, is an …
world. Canopy Chlorophyll Content (CCC), as an important biophysical parameter, is an …
Monitoring the Spatio-Temporal Distribution of Ulva prolifera in the Yellow Sea (2020–2022) Based on Satellite Remote Sensing
The green tide caused by Ulva prolifera (U. prolifera) is becoming more severe as climate
change and human activity accelerate, endangering tourism, aquaculture, and urban …
change and human activity accelerate, endangering tourism, aquaculture, and urban …
The Potential of hue angle calculated based on multispectral reflectance for leaf chlorophyll content estimation
Remote sensing of leaf chlorophyll content (LCC) is critical in precision agriculture, forest
monitoring, and pest management. Chlorophyll absorbs light in the visible and red-edge …
monitoring, and pest management. Chlorophyll absorbs light in the visible and red-edge …
Prediction of vertical distribution of SPAD values within maize canopy based on unmanned aerial vehicles multispectral imagery
B Chen, G Huang, X Lu, S Gu, W Wen… - Frontiers in Plant …, 2023 - frontiersin.org
Real-time monitoring of canopy chlorophyll content is significant in understanding crop
growth status and guiding precision agricultural management. Remote sensing methods …
growth status and guiding precision agricultural management. Remote sensing methods …
Estimation of mangrove canopy chlorophyll content using hyperspectral image and stacking ensemble regression algorithm
FU Bolin, D Liangchao, L ZHANG, QIN Jiaoling… - … remote sensing bulletin, 2022 - ygxb.ac.cn
Mangroves are one of the most productive and valuable wetland ecosystems in the world.
Canopy Chlorophyll Content (CCC), as an important biophysical parameter, is an important …
Canopy Chlorophyll Content (CCC), as an important biophysical parameter, is an important …
Efficient unmanned aerial vehicle-based data collection for IoT smart farming
SA Haider, KM Ahmad, AA Khan - Internet of Things, 2024 - Elsevier
The extensive range of unmanned aerial vehicles (UAVs) is essential for efficiently gathering
data in inaccessible areas. The data received is processed near the end-user to reduce …
data in inaccessible areas. The data received is processed near the end-user to reduce …
Regional Monitoring of Leaf ChlorophyII Content of Summer Maize by Integrating Multi-Source Remote Sensing Data
H Tian, L Cheng, D Wu, Q Wei, L Zhu - Agronomy, 2023 - mdpi.com
This study addresses the problem of restricted ability for large-scale monitoring due to the
limited cruising time of unmanned aerial vehicles (UAV) by identifying an optimal leaf …
limited cruising time of unmanned aerial vehicles (UAV) by identifying an optimal leaf …