@inproceedings{1183e160695f4c099afb7f549af5efa0,
title = "Determination of the cloud threshold for modis imagery over Taiwan region",
abstract = "Determination of a practical and accurate cloud threshold is a very crucial task for satellite imagery canopy monitoring over Taiwan, due to its often-high humidity and cloudy atmospheric characteristics. Overly cloud-masking would remove the bulk of useful pixels, while weak cloud masking would involve cloud mixed pixels, rendering inaccurate interpretation of the vegetation information. The main purpose of this study is to develop a suitable cloud threshold in order to derive more reliable vegetation mapping with satellites. A set of long-term visible and near infrared observations data of the MODIS sensors are used in this study to determine the cloud threshold, and the result is presented. In this paper, methods that can identify and remove cloud-contaminated pixels from multi-temporal observations are discussed.",
keywords = "Cloud threshold, MODIS, Vegetation index",
author = "D. Gerelmaa and Liu, {G. R.} and Lan, {C. W.} and Kuo, {T. H.} and Lin, {T. H.} and Lin, {K. W.} and Liu, {Y. H.}",
year = "2006",
language = "???core.languages.en_GB???",
isbn = "9781604231380",
series = "Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006",
pages = "74--76",
booktitle = "Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006",
note = "null ; Conference date: 09-10-2006 Through 13-10-2006",
}