Assessment Item 2 - Environmental monitoring challenge - PROPOSAL Due Date: 28 Oct 2018 Contribution to unit grade: 10% Length:1000 words (ENV306); 1500 words (ENV506) Students are required to address...

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Assessment Item 2 - Environmental monitoring challenge - PROPOSAL
Due Date: 28 Oct 2018
Contribution to unit grade: 10%
Length:1000 words (ENV306); 1500 words (ENV506)


Students are required to address a landscape change analysis problem as described below.It is expected that students will utilise techniques that have been explored in this unit, and also in ENV101, ENV202/502 and ENV208/508.

Students are required to submit a brief project proposal detailing the following:
1. Introduction(including aims and objectives)
2.Methodological approach (data types,image processing steps and spatial analysis approach)
3. Expected results

4. References
I have added some materials we supposed to read to help in assignment. Information elsewhere is welcomed. Thanks



Remote sensing change detection for ecological monitoring in United States protected areas Biological Conservation 182 (2015) 233–242 Contents lists available at ScienceDirect Biological Conservation journal homepage: www.elsevier .com/ locate /biocon Review Remote sensing change detection for ecological monitoring in United States protected areas http://dx.doi.org/10.1016/j.biocon.2014.12.006 0006-3207/� 2014 Elsevier Ltd. All rights reserved. ⇑ Address: 1255 Bunche Hall Box 951524, Los Angeles, CA 90095, USA. Tel.: +1 401 743 0368. E-mail address: [email protected] Katherine S. Willis ⇑ Department of Geography, University of California, Los Angeles, USA a r t i c l e i n f o Article history: Received 7 August 2014 Received in revised form 27 November 2014 Accepted 5 December 2014 Available online 3 January 2015 Keywords: Remote sensing Conservation Management Protected areas Ecological monitoring Change detection a b s t r a c t Remote sensing allows for cost- and time-efficient monitoring of landscapes vital to the conservation of natural resources, ecosystems, and biodiversity. This review synthesizes and recommends best practice change detection methods for land management groups to monitor chief ecological change indicators currently monitored in United States protected areas. The indicators frequently monitored via change detection and reviewed here include: land use/land cover, disturbance, and phenology. Landsat data products are recommended for monitoring land use/land cover and disturbance, due to their continuous data accessibility free of cost since 1972. Data from the Moderate Resolution Imaging Spectrometer (MODIS) are recommended for monitoring changes in phenology due to its 1–2 day return interval at any given location. Best-practice remote sensing methods are stressed, such as careful validation of results, either by combination of remotely sensed datasets with high resolution imagery or in situ data, in order to increase accuracy and to better align the remotely sensed data to the scale of the on-the- ground processes. Reported results should always be presented with utmost clarity in a manner that is both applicable to managers and understood by the general public. Increased collaborations between ecologists, land managers, conservation groups, and scientists are compulsory for successful integration of remote sensing-based monitoring, which is vital for effective conservation in protected areas. Remote sensing change detection quantifies the effects of humans on a landscape scale without creating further disturbances to ecologically sensitive areas; the results of which can be used for efficient conservation management into the future. � 2014 Elsevier Ltd. All rights reserved. Contents 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 3. Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234 4. Satellite imagery review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 5. Change detection methods and requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235 6. Change detection applications to conservation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 6.1. Uniform change detection: land use and land cover change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 6.1.1. LULCC monitoring methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 6.1.2. LULCC standardizing techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Answered Same DayOct 23, 2020ENV506

Answer To: Assessment Item 2 - Environmental monitoring challenge - PROPOSAL Due Date: 28 Oct 2018 Contribution...

Anju Lata answered on Oct 27 2020
172 Votes
Running Head: Environmental Monitoring Challenge Proposal
Environmental Monitoring Challenge Proposal 7
Assessment 2
Environmental Monitoring Challenge -Proposal
Scientific Report Proposal
Student Name:
Submitted to:
University:
Introduction
Defining the Problem: T
he Environmental Monitoring involves addressing the problem of landscape change analysis, detecting the long term changes to vegetation at Tiwi Islands since 2000 till date with help of Landsat Satellite Imaging Technique
The assessment monitors the impact of plantation forestry operations on biodiversity and natural ecosystem of the islands. The forestry operations transform the natural tropical savanna forests into monoculture plantation which alters the habitat of many endangered indigenous animal species and vegetation composition of the ecosystem. The land managers also burn the adjacent blocks of land at frequent intervals to minimize the risk of spreading the fire in the plantation areas. Alterations in surface reflectance may also potentially cause changes in local climate, meanwhile also altering the natural fire regime in the native vegetative areas.
The tiwi islands are the home of several extinct and native mammal species that are found nowhere is North Territory. That’s why their monitoring and evaluation is necessary.There is observed a remarkable decline in the number of mammals in Northern Australia from 2000 to 2018 due to predation by feral animals, the absence of traditional practices of burning and grazing by large size cattles (Threatened Species Recovery Hub, 2018).
Overview
The remote sensing is a cost effective and time efficient way to monitor the land areas which are important for the conservation of biodiversity and ecosystem, evaluates the main indicators of ecological change (such as land covered, and disturbances) in protected areas of Tiwi Islands.
The remote sensing and spatial techniques employs satellite imaging techniques to remotely sense the vegetation and land use and land cover change. Various operational programs in Australia are based on spatial information and remote sensing data extraction techniques. The techniques involve numerous datasets like Ecosystem indicators, Digital elevation Models, Climate data sets, Land cover data sets, Soil maps and Digital maps (Crabtree et al,2009). Sensing methods may detect measures of relevant vital signs like the occurrence and intensity of fire, change in the pattern of land use, conversion of habitat type and detection of intruder species (Cameron et al,2006).
The Landsat products like Operational Land Imager and Enhanced Thematic Mapper Plus monitors the land covers at the historical and regional level. High spatial Resolution techniques like Quickbird are also used for detecting the land use and land cover areas. Landsat provides freely available data and is effective to measure the vegetation. Selection of appropriate temporal and spatial resolution provides effective change detection utilizing the binary comparison employed during the two different time periods.
Remote sensing and spatial detection is extremely useful in vegetation measurements, moisture, chlorophyll content, Nitrogen and Lignin Content, and stress in vegetation. Change Detection Applications such as Uniform Change Detection, Land Use and Land Cover Change, Continuous Change Detection are adopted to measure the rate of forestry operations in the islands.
Aims and Objectives
The proposal investigates the...
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