Optical vegetation indices for monitoring terrestrial ecosystems globally

Y Zeng, D Hao, A Huete, B Dechant, J Berry… - Nature Reviews Earth & …, 2022 - nature.com
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …

[HTML][HTML] Fifty years of Landsat science and impacts

MA Wulder, DP Roy, VC Radeloff, TR Loveland… - Remote Sensing of …, 2022 - Elsevier
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …

[PDF][PDF] 中国高光谱遥感的前沿进展

童庆禧, 张兵, 张立福 - 遥感学报, 2016 - hrs-cas.com
高光谱成像技术具有光谱分辨率高, 图谱合一的独特优势, 是遥感技术发展以来最重大的科技
突破之一. 中国的高光谱遥感发展与国际基本同步, 在国家和省部级科研项目的支持下 …

植被指数及其研究进展

郭铌 - 干旱气象, 2003 - ghqx.org.cn
植被指数及其研究进展 Page 1 文章编号:1006 - 7639(2003) - 04 - 0071 - 05 植被指数及其研究
进展 郭铌 (中国气象局兰州干旱气象研究所,甘肃兰州730020) 摘要:介绍了植被的光谱特征,概述 …

[HTML][HTML] Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany

L Blickensdörfer, M Schwieder, D Pflugmacher… - Remote sensing of …, 2022 - Elsevier
Monitoring agricultural systems becomes increasingly important in the context of global
challenges like climate change, biodiversity loss, population growth, and the rising demand …

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

L Duncanson, JR Kellner, J Armston, R Dubayah… - Remote Sensing of …, 2022 - Elsevier
Abstract NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne
full waveform lidar data with a primary science goal of producing accurate estimates of forest …

Land cover classification using Google Earth Engine and random forest classifier—The role of image composition

TN Phan, V Kuch, LW Lehnert - Remote Sensing, 2020 - mdpi.com
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …

Urban land use and land cover change analysis using random forest classification of landsat time series

S Amini, M Saber, H Rabiei-Dastjerdi, S Homayouni - Remote Sensing, 2022 - mdpi.com
Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Mapping …

[HTML][HTML] A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications

Z Zhang, L Zhu - drones, 2023 - mdpi.com
In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …

Multiattention network for semantic segmentation of fine-resolution remote sensing images

R Li, S Zheng, C Zhang, C Duan, J Su… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Semantic segmentation of remote sensing images plays an important role in a wide range of
applications, including land resource management, biosphere monitoring, and urban …