Satellite data from the advanced very high resolution radiometer (AVHRR) instrument were used to produce a general land cover distribution of temperate Asia (referred to hence as Central Asia) from 1982, starting with the NOAA-7 satellite, and continuing through 1991, ending with the NOAA-11 satellite. Emphasis was placed upon delineating the and and semi-arid zones of Central Asia (largely Mongolia and adjacent areas), mapping broad categories of aggregated land cover, and upon studying photosynthetic capacity increases in Central Asia from 1982 to 1991

Justice, Chris

English

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February 5, 1998 @ 13:00
Land Cover Analysis of Temperate Asia Final Report
Department of Geography
University of Maryland, College Park
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Summary: Satellite data from the advanced very high resolution
radiometer (AVHRR) instrument were used to produce a general land
cover distribution of temperate Asia (referred to hence as Central
Asia) from 1982, starting with the NOAA-7 satellite, and continuing
through 1991, ending with the NOAA-11 satellite. Emphasis was
placed upon delineating the arid and semi-arid zones of Central Asia
(largely Mongolia and adjacent areas), mapping broad categories of
aggregated land cover, and upon studying photosynthetic capacity
increases in Central Asia from 1982 to 1991.
Early on in our study in became apparent that the photosynthetic
activity of terrestrial vegetation in temperate Asia increased from
1981 to 1991, seemingly accompanied by a possible increase in the
length of the growing season. The regions of greatest increase lie
between 45 o N and 70 ° N in the center of the area we proposed to
study. This is also the portion of Central Asia where marked
warming has been reported in the spring time (Chapman and Walsh,
1993) and where the early disappearance of snow cover has also
been reported (Groisman et al., 1994). Our AVHRR satellite data
showed a higher northern latitude increase in the amplitude of the
seasonal cycle of photosynthetic capacity similar to recently reported
increases in atmospheric CO2 seasonal amplitudes (Keeling et al.,
1996). Thus both satellite and atmospheric CO 2 data indicate
increased higher northern latitude biosphere activity and suggest the
global carbon cycle has responded to interannual fluctuations in
temperature which, although small at the global scale, are regionally
highly significant. It was mandatory to evaluate these possible
changes in increased higher northern latitude biosphere activity to
determine in which ecological zones they were occurring.
https://ntrs.nasa.gov/search.jsp?R=19980018320 2020-06-16T01:05:07+00:00Z
NOAA AVHRR Satellite Data
The National Oceanic and Atmospheric Administration's (NOAA) series of
sun-synchronous polar-orbiting meteorological satellites orbit at an
altitude of -850 km and have a daytime overpass time of - 1430 hours
local solar time immediately after launch (Price, 1991). The advanced
very high resolution radiometer (AVHRR) sensor scans -55 ° from nadir
and complete coverage of the earth is available twice daily with a spatial
resolution of -5.5 x 3.3 km at the satellite subpoint. Daily data from
channels 1 (0.55-0.70 gm), 2 (0.73-1.1 gm), and 5 (11.5-12.5 gm) were
used with a scan angle of 40 ° or less (45 pixel delete from each end of
every scan line), processed to produce a normalized difference vegetation
index (NDVI) of (2-1)/(2+1), and formed into bimonthly maximum value
composites after Holben (1986). Channel 5 was used as a cloud filter
where every pixel cooler than -0 o C was labeled as a cloud. Holben
(1986) and Holben and Fraser (1984) have shown that maximum value
vegetation index composites simultaneously minimize scan angle,
atmospheric effects, clouds, and all other degrading effects upon the
vegetation index. Every global location has _>10 potential daytime data
values to choose from every -15-day period. Global area coverage (GAC)
data, with a nadir spatial resolution of - 4-km, were used in this study.
Confusion sometimes results when vegetation indices are used to describe
research results because all vegetation indices are sensor-dependent. It
is thus instructive to review how vegetation index data correlate to more
commonly-measured vegetation or meteorological variables, such as
biomass production or precipitation.
The normalized difference vegetation index is a non-destructive estimate
of the photosynthetic potential or capacity of the area measured (Sellers
1985 and 1987). Consequently, when normalized difference vegetation
index measurements are made over time, they provide information on
the history of the photosynthetic potential or capacity. This has been
shown to be highly related to total biomass production in grassland
systems. This assumption has been tested in the Sahelian zone of West
Africa where Tucker et al. (1985) and Prince (1991) have shown multi-
temporal NOAA AVHRR normalized difference vegetation index data to be
directly related to herbaceous above-ground biomass production.
Biomass production and green vegetation density are usually closely
related to precipitation in grasslands and savannas. Precipitation ceases
to be the primary factor in primary production when the rainfall is
greater than -700-800 mm/yr (Lamotte and Bourliere, 1983; Le Houerou
and Hoste, 1977). The relationship of precipitation to green vegetation
density and biomass, or primary production, depends upon the amount
and timing of the rainfall, evapotranspiration and runoff, soil infiltration,
and the ability of vegetation to respond to rainfall, among other factors.
Consequently, there is a strong and direct relationship between
precipitation and the normalized difference vegetation index in most
grassland systems, although other factors such as temperature, type of
precipitation, timing, intensity, etc. are also important (Lauenroth, 1979;
Malo and Nicholson, 1990; Nicholson et aI., 1990; Rutherford, 1980; Seely,
1978).
Processing of Images:
Bi-monthly maximum-value composite images (day 1 to day 15, and
from day 16 to the end of every month, to ensure correspondence with
months) were obtained from 1-April to 1-November of every year from
1982 to 1992. Each bimonthly composite image was visually checked for
registration errors using large lakes. Any composite images with mis-
registration were reformed by mapping each day's data separately and
registering all days of data within the respective composite to common
coastline reference points using World Data Base II. Resulting
registration errors were thus minimized and in all but a few unusual
cases were less than +2 picture elements or -+12 km. Mean and
standard deviation images were then formed from the bimonthly
normalized difference vegetation index composite images from each year.
Each year's mean normalized difference vegetation image was adjusted to
1986 using the respective calibration adjustment for that year (Price,
1987; Holben et al., 1990; Brest and Rossow, 1992; Kaufman and Holben,
1993; and Los, 1993).
Compensation for atmospheric effects is important when NOAA AVHRR
data are used anywhere (Tanre et al., 1992); this is especially true when
spectral vegetation indices are used from arid and semi-arid areas. The
modest green vegetation signal from these areas is potentially greatly
compromised by atmospheric effects.
The principal sources of atmospheric effects in AVHRR channel 1 and
channel 2 data are from differential molecular scattering, aerosol
scattering, ozone absorption, and water vapor absorption, often
complicated by viewing geometry and illumination. These effects
are highly variable, and at times are compensating (Tanre et al.,
1992). While we have not applied any atmospheric correction the
data, we have used the normalized difference vegetation index
maximum-value composites formed for each bimonthly period tend
to minimize atmospheric effects (Holben, 1986).
Results
The NDVI data set for middle Asia covers the area from the Caspian
Sea to Manchuria (figure 1). Figure 1 indicates a good
correspondence to actual land cover, where the arid belt extends
from the Taklamakan Desert of East Turkistan in a northeast
direction into Mongolia. Within Mongolia, a zonation is apparent
resembling the desert zone (< 100 mm/yr precipitation), desert
steppe (-100-200 mm/yr), the steppe zone (-200-300 mm/yr), the
forest-steppe zone (>300 mm/yr), and the taiga zone. Figure 1 is a
qualitative representation of land cover, since specific comparisons to
ground data have not yet been performed, but are in progress.
Table 1. Simplified ecological aggregation of land cover classes for
Mongolia as determined in this study.
Ecological Region
Forest or Taiga Zone
Mixed Forest and Steppe Zone
Mountain Steppe Zone
Steppe Zone
Desert Steppe Zone
Desert
Total Mongolian Area:
Area (km 2) % of Total Area
415,136 26.5%
108,139 6.9%
169,101 10.8%
251,940 16.1%
389,700 24.9%
230,101 14.7%
1,564,117 100.0%
The satellite data in figure 1 indicate two different climatic gradients
in the Mongolia/Inner Mongolia region and adjacent areas. Within
Mongolia, moving from the forest and forest steppe zones near
Ulaanbaatar (44 °N, 102 °E) in a southwestern direction into the Gobi
Figure 1. The average normalized difference vegetation index image from
1982-1991, formed from daily global area coverage NOAA AVHRR data processed
into bi-monthly maximum value composite images from l-April to 1-October.
The spatial resolution is -6 km for every grid cell location in an equal area
mapping projection. This figure for all of Central or Middle Asian data shows
a good correspondence to broad zonations of land cover. See also Table 1 for an
areal summary of this figure as it pertains to Mongolia.
Desert, one moves first into the steppe zone, then the desert-steppe
zone, and finally into the Gobi Desert proper. Selecting
representative locations for the forest/forest-steppe zone at 44 o N,
102 o E, for the steppe zone at 45.7 o N by 103.7 o E, at 47.3 o N by
105.3 o E for the desert steppe zone, and at 49 o N by 107 o E for the
Gobi Desert proper and plotting monthly average normalized
difference vegetation indices from 1982 to 1992, the general
qualitative nature of climatic and primary production gradients from
these regions is evident over this broad roughly north east-to-south
west gradient (figure 2a).
At the same time, moving from Inner Mongolia at 122 °E to the
west along the 44° N latitude parallel, the average normalized
difference vegetation indices increase at a local maxima at - 117 °E
and then begin to decrease with progressive movement to the west
along the 44 o N parallel. The minima along this parallel is reached in
the Gobi Desert at 44 o N by 97 o E (figure 2b). These variations in
the normalized difference vegetation index are in general agreement
with climatic and primary production gradients.
Work is presently underway to compare precipitation data from
specific locations in Mongolia and Inner Mongolia to coincident NDVI
data, and to compare grassland total biomass production data from
specific locations to the NDVI data. Furthermore, AVHRR 1-km data
have been obtained, will be processed, and compared to the same
ground data for the 1990-1997 period for which the satellite data
exist. It is assumed that 1-km data will be required for many
location-specific studies, since the spatial complexity can be
substantial in the desert desert-steppe, and steppe zones. We
intend to pursue similar investigations to Tucker et al. (1991) and
Prince (1991) to describe land cover variation and primary
production features of the grasslands of the Mongolian steppes,
through cooperation with scientists working in these areas.
Photosynthetic Increases in Central Asia
Changes in the Asian summer maxima normalized difference
vegetation index at northerly latitudes are plotted in Fig. 3, as
characterized by changes in the July and August average NDVI. At
northern latitudes this broad measure of the seasonal maximum
approximates the seasonal amplitude because winter-time NDVI
there is close to zero. The seasonal maximum NDVI, by this
definition, increased by 8% to 14%, depending on the latitude, from
1981 through 1990 (Fig. 3). Because NDVI is a measure of
photosynthetic capacity of vegetation (Asrar et al., 1984; Myneni et
a1.,1995), this increase indicates that the photosynthetic activity of
plants at higher northern latitudes >45 ° N increased by 10% during
the 1980s. A similar but slightly larger increase (14%) is indicated
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Figure 2. Normalized difference vegetation time variations by month,
averaged from 1982-1992, at selected locations in Mongolia and adjacent
areas. Each datum represents a spatial average of ~400 km 2. (Bottom)
represents moving from the forest and forest-steppe zone of Mongolia
into the Gobi Desert as noted for the 4 selected locations along this
roughly north to south gradient. (Top) represents a corresponding
gradient moving along the 44th parallel, from Inner Mongolia into the
Gobi Desert of Mongolia. Refer also to figure 1 and Table 1.
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0.60.
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0.40.
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Note: 1981 = year 1, 1982 = year 2, etc.
Figure 3.
I_._ 35-40 N
45-50 N
55-60 N
65-70 N
y = 0.23 + O.O031*year r^2 = 0.80 J-L
0.25. _ _- -- Lt'- _-
0.20 l . , . , . l . l . , . l . i , i . i • i
CO CO CO CO CO CO CO CO 03
03 03 03 03 03 03 03 03 03 03 03
Year
Asian zonal average normalized difference vegetation index
values from 45-700 N for July-August and May-September of 1982 to
1991. Note the increasing trend with time as reported in Myneni et al.
(1997).
by changes in the seasonal cycle of atmospheric CO 2 measured at
Point Barrow, Alaska for the same time period (Keeling et al, 1996).
A recent study has also reported increased biomass deposition in
Central Asia from tree-ring analysis in Mongolia (Jacoby et aI, 1996).
In Central Asia, a band of increasing NDVI across Asia to the western
Pacific ocean was evident. In this band, a broad region near Lake
Baikal in Siberia adjacent to Mongolia is most affected. Outside this
band, northern China and northeastern Siberia were also strongly
affected.
In general, the regions of greatest increase in NDVI are remote from
the oceans and are north of 50 ° N. The prominent bands of increased
NDVI referred to above in both Central Asia correspond generally
with areas of high NDVI (Fig. 1). Thus, most of the areas where
changes in NDVI amplitude and seasonality were observed are also
regions of significant vegetation density. Notable exceptions are
several arctic regions in the far north of Asia where NDVI rose
sharply from low initial values.
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Land Cover Analysis of Temperate Asia

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