Improving Satellite-Based Retrieval of Maize Leaf Chlorophyll Content by Joint Observation with UAV Hyperspectral Data

While satellite-based remote sensing offers a promising avenue for large-scale LCC estimations, the accuracy of evaluations is often decreased by mixed pixels, attributable to distinct farming practices and diverse soil conditions. To overcome these challenges and to account for maize intercropping...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Siqi Yang, Ran Kang, Tianhe Xu, Jian Guo, Caiyun Deng, Li Zhang, Lulu Si, Hermann Josef Kaufmann
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2024-12-01
Цуврал:	Drones
Нөхцлүүд:	UAV hyperspectral chlorophyll content maize intercropping random linear mixed model spectral matching
Онлайн хандалт:	https://www.mdpi.com/2504-446X/8/12/783
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!