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Remote Sensing Study of Selected Areas in Dogtown using Multi-Temporal Landsat Data

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Abstract and Figures

A remote sensing study of an expanse of woodlands in the middle of Cape Ann, Massachusetts known as Dogtown is described. Using 35 years of Landsat TM data provided through Google's Earth Engine we compare and contrast vegetation changes at selected study areas in Dogtown. Successional forests, swamps, fens, and other areas are examined. Preliminary results reveal anomalous changes in two fens, one of which may have been caused by the operation of a nearby municipal compost facility.
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Remote&Sensing!Study&of!Selected'
Areas!in#Dogtown'using'Multi-Tem poral)
Landsat!Data"
Mark%Carlotto%(mark@carlotto.us)%
%
Abstract(
A% remote% sensing% study% of% an% expanse% of% woodlands% in% the% middle% of% Cape% Ann,%
Massachusetts%known%as%Dogtown%is%described.%Using%35%years%of%Landsat%TM%data%provided%
through% Google’s%Earth% Engine% we% compare% and% contrast% vegetation% changes% at%selected%
study%areas%in%Dogtown.%Successional%forests,%swamps,%fens,%and%other% areas%are%examined.%
Preliminary% results% reveal%anomalous% changes% in% two% fens,% one% of% which% may% have%been%
caused%by%the%operation%of%a%nearby%municipal%compost%facility.%
1.(Introduction(
An%area%of%woodlands%in%the%middle%of%Cape%Ann%known%as%Dogtown%has%a%long%and%diverse%
history%(Carlotto% 2012).% The% area%originally%known% as% the% Commons% Settlement%was%
established%around%1670%after%large%expanses%of%the%native%forest%were%cleared.%About%forty%
families%lived%there%at%its%peak.%The%settlement%began%to%decline%after%the%Revolutionary%War%
as%the%local%economy%shifted%from%agriculture%to%ship%building%and%fishing.%As%people%moved%
closer% to% the% harbor%their% homes% in% the% interior% of% Cape% Ann% were% rented% and% fell% into%
disrepair.%During%this%time%the%area%became%known%as%Dogtown.%In% the%early%1800s% granite%
quarries% were% established% in% the% northern% part% of% Cape% Ann.% Less% than% a% century% later%as%
engineered% stone% products% replaced% granite% most% of% the% quarries% were% shut% down.% The%
quarry%pits%that%remained%filled%with%water%and%eventually%became%part%of%the%public%water%
supply.% Two% reservoirs% were% constructed% –% the% Babson% Reservoir% in% 1930% and% the% Goose%
Cove%Reservoir%in%the%1960s.%Although%much%of%Dogtown%is%protected%by%virtue%of%these%two%
reservoirs%and%their%watersheds,%development%continues%to%erode%the%edges%of%Dogtown%and%
remains%an%existential%threat%to%the%integrity%of%historical%Dogtown.%%%
%
Dogtown’s%historical%and%cultural%resources%are%well%documented%(Heitert%et%al%2018).%Much%
of% what% we% know% about% Dogtown’s% people% was% passed% down% in% oral% histories% captured% in%
The$Story$of$Dogtown%by%Mann%(1896).%Although%its%natural%features% have% been% mapped% to%
some% extent%(DSC% 1985)%Dogtown% has% never% been% studied% from% a% remote% sensing%
perspective.% Pasquarella% et% al% (2016)% describe%how% an% extensive%archive%of% Landsat%
observations%over%the%past% three% plus% decades% can%be%used%in% the% study% of% ecology% for% the%
purpose%quantifying%and%analyzing%relationships%between%time%series%data,%ecosystems%and%
ecological%processes.%
%
Inspired% by% this% research,% in% this% study% we% use%multi-temporal%Landsat% TM% data% for% the%
purpose%of%characterizing%and%comparing%vegetation%changes%in%Dogtown%–%in%effect%to%begin%
to%tell%today’s% ecological%story”% of% Dogtown%from% a% remote% sensing% perspective.%Section% 2%
defines%the% areas%identified% for% study.% Section% 3% describes% a%methodology% developed% to%
measure%changes%in%vegetative%state%over%time%that%from%Landsat%time-series%data.%Section%4%
tells%the%stories%of%several%areas%in%Dogtown%in%terms%of%the%Landsat-derived%measurements.%
%
%
Figure'1' Point' locations' in' greater' Dogtown' examined' in' this' study.' Shaded' areas' are' watershed.'The'
outlined'area'is'generally'regarded'as'the'Dogtown'historical'district.'(Google'Earth)'
2.(Study(Areas(
The%locations%analyzed% in% this% study% (Figure%1)%lie% within% an% expanse%of% woodlands% in% the%
middle%of%Cape%Ann.%This%landscape%was%at%various%times%more%diverse%than%it%is%today.%Much%
of%what%is%considered%historical%Dogtown%(roughly%defined%as%the%area%bounded%by%Dogtown%
Road% to% the% south,% Wharf% Road% to% the% east,% Common% Road% to% the% north,% and% Back% Road%
(Cherry% Street)% to% the% west)% consisted% of% farms% and% pastures% that% have% reverted% to%
woodlands.% Areas% around% the% northern% quarries%have% similarly% returned%to% their% natural%
wooded% state.% Table% 1% lists% the% locations% examined%that% include% successional% forests% that%
were%once%farms%and%pastures,%swamps,%fens,%a%beaver%pond,%and% several%areas%that%are,% or%
might%be%affected%by%manmade%activities.%
%
%
%
%
%
%
Table'1'Dogtown'locations'include'fens,'swamps,'successional'forests,'and'a'municipal'compost'area.'
Location(
Latitude(
Longitude(
Description(
Lower"Vivian"Fen"(LVF)"
42.63482"
-70.66457"
Fen"below"compost"area"
Upper"Vivian"Fen"(UVF)"
42.63694"
-70.66196"
Fen"above"compost"area"
Granny"Day"Swamp"(GDS)"
42.64055"
-70.65420"
Small"freshwater"swamp"
Briar"Swamp"(BS)"
42.65282"
-70.64207"
Large"freshwater"swamp"
Pearce"Pasture"(PP)"
42.63876"
-70.65177"
Former"Dogtown"farm"(successional"forest)"
Stevens"Farm"(SF)"
42.63766"
-70.66030"
Former"Dogtown"farm"(successional"forest)"
Woodland"Acres"(WA)"
42.67450"
-70.63733"
Aborted"housing"development"
(successional"forest)"
Johnson"Fen"(JF)"
42.66260"
-70.64246"
Fen"near"granite"quarry"
Compost"Area"(C)"
42.63557"
-70.66133"
Municipal"compost"area"
Location"northeast"of"Compost"
Area"(NE)"
42.63614"
-70.66099"
Former"gravel"pit"(successional"forest)"
Reference"location"east"of"
Compost"Area"(E)"
42.63543"
-70.66069"
Successional"forest"
Reference"location"west"of"
Compost"Area"(W)"
42.63550"
-70.66273"
Brush""
Reference"location"south"of"
Compost"Area"(S)"
42.63499"
-70.66182"
Successional"forest"
Beaver"pond"(BP)"
42.63337"
-70.64885"
Beaver"pond"at"old"mill"site"east"of"Babson"
Reservoir"
%
(
Figure' 2' Google' Earth' Engine' application' displays' time' series' information' (right)' computed' from' 35'
years' of' Landsat' TM' data' at' userdefined' locations' (left).' The' white' box' represents' the' spatial'
resolution'of'the'underlying'Landsat'TM'pixel'data.'(Google/Boston'University)'
3.(Methodology(
Google’s%Earth%Engine1%contains%over%twenty%petabytes%of%imagery%and%other%geospatial%data%
sets.%Using%a%script%developed%by%Eric%Bullock%and%Valerie%Pasquarella%at%Boston%University’s%
Center%for%Remote%Sensing% we%downloaded%Landsat%TM%time-series%data% at%the%locations%of%
interest.% The% application% displays% numerous% time-series% plots% including% the% tasseled% cap%
brightness,%greenness,%and%wetness%(Crist%and%Cicone%1984).%Figure%3a%plots%the%tasseled%cap%
greenness%of%a% vegetated% area% as%a% function% of% the% time 𝑔(𝑡)%between%1985%and%2019.% The%
data%were%downloaded%as%a%CSV%file%from%the%app,%processed%and%displayed%using%Microsoft%
Excel.% The% data% are% provided%along% with% a% date% that% is% converted% to% an% Excel% integer% time%
code.% Plotting% the% data% versus% the% day% of% year%(i.e.,% time% code% modulo% 365)% reveals% its%
phenological%cycle%(Figure%3b).%%
%
Although% it% is% possible% in% some%applications%to% visually% detect% changes%of% interest% directly%
from% these% plots,% other%applications% require% an% additional% stage% of% processing% in% order% to%
enhance% subtle% changes.% Spatial%integration%can% be% used% to% detect% small% changes% between%
regions%(Carlotto%et%al%1994).%Similarly%temporal%integration%can%enhance%small%changes%that%
occur%over%time.%For%example,%by%accumulating%the%tasseled%cap%greenness%over%time%%
%
𝐺𝑇=𝑔(𝑡)/
!
!!!
𝑛𝑡
%
subtle% differences% in% vegetation% growth% patterns% can% be% detected.% The% normalizing% factor%
𝑛𝑡,%which%is%equal%to% the%total%number%of%observations%within%the%year%of%an% observation,%
compensates%for%the%variation%in%the%number%of%Landsat%observations%from%year%to%year.%The%
slope% of% the% accumulated%greenness%distribution% is% related% to% the% amount% of% green%
vegetation%present.%As%vegetation%reaches%an%equilibrium%growth%state%the%slope%approaches%
a%constant%value.%
%
Figure'3' Greenness'vs.'time' (top'left),'greenness'vs.'day' of'year'(right),'and'accumulated' greenness'vs.'
time'(bottom'left).'The'time'axis'(top'level)'is'in'Excel'time'units.'
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1%https://earthengine.google.com%%
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-35& 15& 65& 115& 165& 215& 265& 315& 365&
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
Figure'4'Two'old'pastures:'the'Steven’s'farm'(left)'in'early'fall'and'the'Pearce'pasture'(right)'in'late'fall.'
(Photos'by'author)'
4.(Stories(of(Dogtown(
4.1(Old(pastures(
The%Steven’s%farm%and%Pearce%pasture%are%two%areas%in%Dogtown%that%were%once%farms%with%
pastures.%An%1826% probate% inventory%of%the%Steven’s%farm%included%two% houses% with%barns%
and% adjoining% fields% (Heitert%et% al% 2018).% Although% this%area% along% Dogtown% Road% was%
probably% abandoned% around%that%time% it% remained% pastureland% into% the% mid-1900s.% The%
Pearce% pasture% was% a% sheep% farm% in% the% middle% of% Dogtown%that% was% owned% by% Colonel%
William% Pearce,% one% of% the% wealthiest% merchants% in% Gloucester.% The% house% and% farm%
provided%Pearce%an%inland%retreat%during%the%War%of%1812.%
%
Figure% 5% compares% the% accumulated% greenness% of% these% two% pastures% relative% to% a% third%
reference%area%(E)%of% successional% forest,%formerly%pastureland,%east%of%Dogtown%Road.%The%
accumulated%greenness%of%the%Pearce%pasture%follows%that%of%the%reference%area%while%that%of%
the%Steven’s%farm%falls%below%it.%A%possible%explanation%for%the%difference%is%that%Stevens’%and%
adjacent%farms% and%fields%west%of% Dogtown%Road%experience%small%brush% fires% from%time%to%
time.%Plots% of% vegetation% index%over% time% reveal% that%areas%affected% by% fire% tend%to%recover%
within%a%few%years%(Ryu%2018).%It%is%conjectured%this%area%that%has%been%repeatedly%affected%
by% fires% will% tend% to% have% less% vegetation% on% average% than% other% areas% that% have% not%
experienced%fires.%
%
%
%
Figure'5'Accumulated'greenness'at'Steven’s'farm'(SF)'and'Pearce'pasture'(PP)'locations'compared'with'
a'reference'area'(E)'of'successional'forest.'
%
%
%
Figure' 6' Northern' end' of' Granny' Day' swamp' (left)' in' late' fall' and' boardwalk' through' Briar' swamp'
(right)'in'mid-winter.'(Photos'by'author)'
0.00#
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
SF#
E#
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
PP#
E#
4.2(Two(Swamps(
Cape% Ann% was% located% at% the% edge% of% North% American% ice% sheet% during% the% last% Ice% Age.%%
Today% its% rocky% landscape% is% strewn% with% giant% boulders% known% as% erratics% that% were%
transported%hundreds%of%miles%by%the%glacier.%The%weight%of%the%ice%in%some%places%created%
depressions%called%kettle%holes%that%were%left%behind%after%the%ice%melted.%Those%in%low-lying%
areas%became%swamps%and%bogs.%%
%
Granny%Day%swamp%and%Briar%swamp%are%two%such%areas%in%Dogtown.%During%colonial%times%
several%homes% and%a% schoolhouse% were%built%near% Granny% Day% swamp.%An% old% well%can% be%
found%between%the%swamp%and%Dogtown%Road.%In% the%1930s%a%dike% was%built%south%of%Briar%
swamp% to% prevent%the% swamp’s% dark-colored% peat-stained% water% from%flowing%into% the%
Babson%Reservoir.%Today%most% of% the%water% that% flows% out% of% Briar% swamp% filters% through%
wetlands%north%of%Common%Road%into%Goose%Cove%Reservoir.%
%
Figure%7%plots%the%accumulated% greenness%of%these%two%swamps%against%the% reference%area%
(E).% Observing% that% wetland% biomass% decreases% from% land% to% water,% Han% et% al% (2019)%
developed% regression% methods% for% estimating% wetland% biomass% from% vegetation% indices.%
That% the%accumulated%greenness% of% Briar% swamp% is% greater% than% Granny% Day% swamp%
suggests%there%is% a% greater% amount% biomass% in% Briar%swamp%and% is% likely%on% average%to% be%
drier.%%
%
Figure' 7' Accumulated' greenness' distributions' for' Granny' Day' swamp' (GDS)' and' Briar' swamp' (BS)'
compared'to'a'reference'area'(E)'east'of'Dogtown'Road.'
Figure'8'Phenological'plots'for'location'in'Granny'Day'swamp'(left)'and'Briar'swamp'(right).'
0.00#
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50,000.00#
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
GDS#
BS#
E#
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-35$ 15$ 65$ 115$ 165$ 215$ 265$ 315$ 365$
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500$
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4.3(Beaver(pond(
When% the% Babson% Reservoir% was% constructed% in% 1930,% Gloucester’s% First% Mill% on% Alewife%
Brook% was% dismantled%and% the% large% millpond% drained%(Babson% 1936).% Since% then% Cape%
Ann’s%beaver% population%has%taken%up% residence%in%this%part% of% Dogtown%building%one% dam%
after%another%at%this%location.%The%latest%beaver%dam%was%removed%in%2019.%The%two%Google%
Earth%images% in% Figure%9% illustrate% the% build% up% of% water% leading%up% to% the% removal%of% the%
beaver% dam% (Figure% 10).% Figure% 11%shows% the% change% in% the% tasseled% cap% wetness% at% this%
location%over%this%period%of%time.%
%
Figure'9'Aerial'images'over'Beaver'Pond'in'the'spring'2017'(left)'and'2018'(right).'(Google'Earth)'
%
%
Figure'10'Photo'of'the'dismantled'beaver'dam'on'Alewife'Brook.'(Photo'by'author)'
%
%
Figure'11'Tasseled'cap'wetness'for'point'location'in'beaver'pond.'
%
4.4(Fens(
Fens% occur% in% areas% along% streams% that% remain% saturated% most% of% the% year% and% generally%
contain%more%biomass%than%swamps%as%illustrated%in%Figure%12.%
%
%
Figure'12'Comparison'of'the' accumulated'greenness'of'a'fen'along'an'upper'section'of'the'Vivian'brook'
(UVF)'west'of'the'Steven’s'farm'to'Briar'swamp'(BS).'
Two% fens% in% Dogtown% may% be% indicators% of% environmental% change% caused% by% manmade%
activities.%Figure% 13%compares% upper% Vivian% with% a%fen%west%of%Johnson%quarry,%which%is%in%
the%northern% part% of% Dogtown.%The% accumulated% greenness% distribution% of% the% Johnson% fen%
follows% that% of% upper% Vivian % until% sometime% in% 2014% when% it% decreases% sig nificantly.% This%
decrease%is%puzzling.%Figure%14%shows% that% the% accumulated%tasseled% cap% wetness%remains%
constant%suggesting%the%decrease%in%greenness%was%not%caused%by%the%region%become%wetter.%
Between%2008% and%2017%the%fen%appears%to%grow%in%size%(Figure%15).%Although%this%change%
occurs%around% the% time%the%quarry%once%again%became% active% on%a%limited%basis%it% does%not%
appear% to% be% directly% related% to% the% quarry.% The% cause% of% this% change% is% currently%
unexplained.%
%
-3000$
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-2000$
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-1000$
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0$
500$
1000$
40000$ 42000$
2019%
2018%
2017%
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
UVF#
BS#
%
Figure'13'Decrease'in'accumulated'greenness'of'fen'west'of'Johnson'quarry'(JF)'relative'to'upper'Vivian'
fen'(UVF).'
%
Figure'14'Accumulated'greenness'and'wetness'distributions'for'fen'west'of'Johnson'quarry.'
%
Figure'15'Two' images' taken' in' the' spring' of' 2008' (left)' and' 2017' (right)' show' increase' in' size' of' fen'
west'of'Johnson'quarry.'White'placemark'is'location'of'point'sample'analyzed.'(Google'Earth)'
%
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
UVF#
jF#
2014%
0.00#
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20,000.00#
30,000.00#
40,000.00#
50,000.00#
29886# 31886# 33886# 35886# 37886# 39886# 41886#
WET#
GRN#
2014%
%
%
Figure' 16'Aerial' image' (left)' and' ground' photo' (right)' at' compost' area' taken' in' 2018.'(Google'
Earth/Photo'by'author)'
4.5(Compost(area(
In%1991%a%parcel%of%land%on%Dogtown%Road%began%to%be%used%by%the%City%of%Gloucester%for%leaf%
and% brush% composting.% Although% a% visual% examination% of%aerial% imagery% suggests% that% the%
area%of%the%facility%does%not%appear%to%have%changed% over%the%past%twenty%years%the% volume%
of%material%that%has%accumulated%there%has%increased%significantly.%What%was%to%have%been%a%
temporary%solution%for%processing%yard%waste%has%become%a%permanent%eyesore%with%runoff%
(including%trash)%flowing%into%the%lower%part%of%the%Vivian%stream.%
%
%
Figure'17'Accumulated'greenness'of'upper'and'lower'Vivian'fen'(UVF'and'LVF)'and'compost'area'(C).''
Figure% 17%shows% that% the% accumulated% greenness% distribution% at% a% location% within% the%
compost% area% (C)% begins% to% decrease% sometime% in% 1995.% Up% to% this% time%the% accumulated%
greenness%measured%in%the%upper%and%lower%Vivian%fens%are%similar.%After%this%point%in%time%
they% appear% to%diverge.% Although% correlation% does% not% necessarily% imply% causation,% it% is%
possible%that%the%decrease%in% greenness% is%caused%by%runoff% from%the%compost%area% into%the%
lower%Vivian%fen.%
0.00#
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
UVF#
LVF#
C#
1995$
Figure'18'Aerial'images'over'Woodland'Acres'taken'in'1995,'2001,'and'2019.'(Google'Earth)
4.6(Interrupted(succession(
In%the%mid-1990s,%permits%were%granted%that%would%have%allowed%75%homes%to%be%built%in%a%
tract% of% land%north% of% Dogtown%in% Rockport%Massachusetts% known% as% Woodland% Acres.%
Figure% 18%shows% the% area% before% the% start% of% construction% in% 1995,% in% 2001% several% years%
after%it%was%terminated%(which%was%due%to%financial%issues),%and%in%2018%after%succession%had%
resumed.% Figure% 19%tells% the% same% story.% Soon% after% construction% began% the% slope% of%
accumulated% greenness% distribution% decreased% as% biomass% was% removed.% After% the%
development%stopped%the% slope%increased%as%early%succession%began%in%areas%that%had%been%
cleared.%
Figure' 19'Pattern' of' interrupted' succession' in' the' accumulated' greenness' distribution' for' a' point' in'
Woodland'Acres'(WA).'The'dotted'line'represents'normal'succession.
5.(Summary(
Multi-temporal% Landsat% TM% data% provides% new% ecological% insights% into% Dogtown’s% once%
diverse% landscape.% We% h ave% discovered% two% fens% that% may% be% in dicators% of% environmental%
change%caused%by%manmade%activities.%Further%analysis%of%changes%in%the%lower%Vivian%fen%is%
needed%to%determine%if%there%is%a%causal%relationship%between%the%operation%of%the%compost%
area% and% surrounding% vegetation.%Future% work% will% extend% our% analysis% to% other% areas% in%
Dogtown.%%
%
0.00#
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29886# 31886# 33886# 35886# 37886# 39886# 41886#
WA#
1995$
Acknowledgement(
The%author%wishes%to%thank%Valerie%Pasquarella%and%Boston%University’s%Center%for%Remote%
Sensing%for% providing% a% special% Cape% Ann% edition% of% their% Google% Earth% Engine% script% to%
support% this% research% and% Jim% MacDougall% for% contributing% his% extensive% environmental%
knowledge%of%Dogtown.%
%
References(
%
Charles%E.%Mann,%In$the$Heart$of$Cape$Ann$or$the$Story$of$Dogtown,%Proctor%Bros.%Publishers,%
Gloucester%MA,%1896.%
%
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ResearchGate has not been able to resolve any citations for this publication.
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With wetlands categorized as one of the three major ecosystems, the study of wetland health has global environmental implications. Multiple regression models were employed to establish relationships between Landsat-8 images, vegetation indices and field measured biomass in the Yellow River Delta Nature Reserve. These models were then used to estimate the spatial distribution of wetland vegetative biomass. The relationships between wetland vegetative biomass and soil factors (organic matter, nitrogen, phosphorus, potassium, water soluble salt, pH and moisture) were modeled. We were able to achieve higher correlations and improved model fits using vegetative indices and spectral bands 1–5 as independent variables. Several important soil factors were isolated, including soil moisture and salt concentrations, which affect wetland biomass spatial distributions. Overall, wetland biomass decreased from land to the ocean and from the river courses outward.
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Theworst forest fire in South Korea occurred in April 2000 on the eastern coast. Forest recovery works were conducted until 2005, and the forest has been monitored since the fire. Remote sensing techniques have been used to detect the burned areas and to evaluate the recovery-time point of the post-fire processes during the past 18 years. We used three indices, Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), and Gross Primary Production (GPP), to temporally monitor a burned area in terms of its moisture condition, vegetation biomass, and photosynthetic activity, respectively. The change of those three indices by forest recovery processes was relatively analyzed using an unburned reference area. The selected unburned area had similar characteristics to the burned area prior to the forest fire. The temporal patterns of NBR and NDVI, not only showed the forest recovery process as a result of forest management, but also statistically distinguished the recovery periods at the regions of low, moderate, and high fire severity. The NBR2.1 for all areas, calculated using 2.1 μm wavelengths, reached the unburned state in 2008. The NDVI for areas with low and moderate fire severity levels became significantly equal to the unburned state in 2009 (p > 0.05), but areas with high severity levels did not reach the unburned state until 2017. This indicated that the surface and vegetation moisture conditions recovered to the unburned state about 8 years after the fire event, while vegetation biomass and health required a longer time to recover, particularly for high severity regions. In the case of GPP, it rapidly recovered after about 3 years. Then, the steady increase in GPP surpassed the GPP of the reference area in 2015 because of the rapid growth and high photosynthetic activity of young forests. Therefore, the concluding scientific message is that, because the recovery-time point for each component of the forest ecosystem is different, using only one satellite-based indicator will not be suitable to understand the post-fire recovery process. NBR, NDVI, and GPP can be combined. Further studies will require more approaches using various terms of indices.
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With over 30 years of directly comparable Landsat satellite observations now freely available, and new imagery being added to the Landsat archive every day, Landsat time series analysis affords novel opportunities for ecosystem mapping, environmental monitoring and comparative ecology. This study presents a series of data-driven examples that illustrate the potential of using Landsat time series to further the study of land cover characterization, vegetation phenology and landscape dynamics. Our goal is to showcase how ecosystem properties and dynamics manifest in the Landsat data record, laying the foundation for better integration of remote sensing and ecology using Landsat time series. Our results suggest that time series provide valuable information on ecosystem cover, use and condition that could advance understanding of ecosystem function , resilience and dynamics. We have only just begun to understand how to use the complete record of Landsat observations for the study of ecology, and we hope this work will encourage future studies on quantifying and analyzing relationships between time series data, ecosystems and ecological processes.
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New techniques are described for detecting environmental anomalies and changes using multispectral imagery. Environmental anomalies are areas that do not exhibit normal signatures due to man-made activities and include phenomena such as effluent discharges, smoke plumes, stressed vegetation, and deforestation. A new region-based processing technique is described for detecting these phenomena using Landsat TM imagery. Another algorithm that can detect the appearance or disappearance of environmental phenomena is also described and an example illustrating its use in detecting urban changes using SPOT imagery is presented.
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In an extension of previous simulation studies, a transformation of actual TM data in the six reflective bands is described which achieves three objectives: a fundamental view of TM data structures is presented, the vast majority of data variability is concentrated in a few (three) features, and the defined features can be directly associated with physical scene characteristics. The underlying TM data structure, based on three TM scenes as well as simulated data, is described, as are the general spectral characteristics of agricultural crops and other scene classes in the transformed data space.
In the Heart of Cape Ann or the Story of Dogtown
  • Charles E Mann
Charles E. Mann, In the Heart of Cape Ann or the Story of Dogtown, Proctor Bros. Publishers, Gloucester MA, 1896.
Cape Ann Tourist's Guide
  • W Roger
  • Foster H Babson
  • Saville
Roger W. Babson and Foster H. Saville, Cape Ann Tourist's Guide, Sandy Bay Historical Society and Museum Inc., Rockport MA, 1936.
National Register of Historic Places Registration Form: Dogtown Historic and Archaeological District
  • Kristen Heitert
  • Gretchen Pineo
  • Dianna Doucette
Kristen Heitert, Gretchen Pineo, and Dianna Doucette, National Register of Historic Places Registration Form: Dogtown Historic and Archaeological District, The Public Archaeology Laboratory, Inc. (PAL), July 2018.
The Island Woods, Create Space Independent Publishers
  • Mark Carlotto
Mark Carlotto, The Island Woods, Create Space Independent Publishers, 2017.