@inproceedings{f11321e265c6464a9d4f96c07d3fcd94,
title = "Pseudo-variant features analysis of landsat imageries for change detection of mangrove forests in Belizean coastal areas",
abstract = "The overly coastal development to meet the human pressing basic needs has driven the deforestation of mangrove forests in Belize, causing environmental issues. Thus, understanding spatiotemporal changes in mangrove forests was thus important for evaluating current forest management practices in regard to formulating a better long-term strategy of mangrove ecosystem. This study focuses on detecting changes of mangrove forests using Landsat imageries in Belizean coastal areas during the period 1989-2000 and 2000-2013. The data were processed based on an analysis of the pseudo-invariant features (PIFs) through three main steps: (1) image rectification to account for geometric errors between images; (2) image normalization using PIFs to find out unchanged pixels as a reference data; (3) using pseudo-variant features (PVFs) method to detect mangrove change areas from the normalized images.",
keywords = "Belize, Change detection, Landsat data, Mangrove forests, PVFs",
author = "Chen, {C. F.} and Chang, {L. C.} and Son, {N. T.} and Chang, {L. Y.} and Chen, {C. R.}",
year = "2013",
language = "???core.languages.en_GB???",
isbn = "9781629939100",
series = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",
publisher = "Asian Association on Remote Sensing",
pages = "882--888",
booktitle = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",
note = "34th Asian Conference on Remote Sensing 2013, ACRS 2013 ; Conference date: 20-10-2013 Through 24-10-2013",
}