Sentinel-2 and Sentinel-3 Intersensor Vegetation Estimation via Constrained Topic Modeling
نویسندگان
چکیده
منابع مشابه
Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass
Forest’s ecosystem is one of the most important carbon sink of the terrestrial ecosystem. Remote sensing technology provides robust techniques to estimate biomass and solve challenges in forest resource assessment. The present study explored the potential of Sentinel-2 bands to estimate biomass and comparatively analyzed of red-edge band based and broadband derived vegetation indices. Broadband...
متن کاملVolumetric soil moisture estimation using Sentinel 1 and 2 satellite images
Surface soil moisture is an important variable that plays a crucial role in the management of water and soil resources. Estimating this parameter is one of the important applications of remote sensing. One of the remote sensing techniques for precise estimation of this parameter is data-driven models. In this study, volumetric soil moisture content was estimated using data-driven models, suppor...
متن کاملAre 3 sentinel nodes sufficient?
HYPOTHESIS It has recently been proposed that only 3 sentinel lymph nodes (SLNs) are required for an adequate SLN biopsy. Others have advocated removing all nodes that are blue, hot, at the end of a blue lymphatic channel, or palpably suspicious or that have radioactive counts of 10% or greater of the most radioactive SLN. Our objective was to determine the false-negative rate (FNR) associated ...
متن کاملDeep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1
Mapping winter vegetation quality coverage is a challenge problem of remote sensing. This is due to the cloud coverage in winter period, leading to use radar rather than optical images. The objective of this paper is to provide a better understanding of the capabilities of radar Sentinel-1 and deep learning concerning about mapping winter vegetation quality coverage. The analysis presented in t...
متن کاملBlue Swarm Sentinel and Blue Swarm 2
This paper describes the Utah State University (USU) entry in the 2002 robotic Urban Search and Rescue (USAR) competition, hosted by the American Association for Artificial Intelligence (AAAI). More importantly, it also describes the problems the team encountered in preparing for this year’s competition, the lessons learned, and plans for the 2003 USAR competition. Description of the 2002 Entry...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Letters
سال: 2019
ISSN: 1545-598X,1558-0571
DOI: 10.1109/lgrs.2019.2903231