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421.
The study to establish the optimum time span for distinguishing Avena ludoviciana from wheat crop based on their spectral signatures was carried out at Student’s Research Farm, Department of Agronomy during
2006–07 and 2007–08. The experimental sites during both the seasons were sandy loam in texture, with normal soil reaction
and electrical conductivity, low in organic carbon and available nitrogen and medium in available phosphorus and potassium.
The experiment was laid out in randomized block design with four replications and consisting of twelve treatments comprising
0, 10, 15, 25, 50, 75, 100, 125, 150, 200, 250 plants m−2 and a pure Avena ludoviciana plot (Tmax). The results revealed that in all the treatments irrespective of wheat and weeds, the red reflectance (%) value decreased
from 34 to 95 DAS (days after sowing) in 2006–07 and 45 DAS to 100 DAS during 2007–08, and thereafter a sharp increase was
observed in all the treatments. This trend might be due to increased chlorophyll index after 34 DAS as red reflectance was
reduced by chlorophyll absorption. Among all the treatments, Tmax (Pure Avena ludoviciana plot) had the highest red reflectance and T0 (Pure wheat plot) had a lowest value of red reflectance during both the years. The highest value of IR reflectance was obtained
at 95 DAS (2006–07) and 70 DAS (2007–08) in all the treatments. IR reflectance of wheat crop ranged between 24.61 and 61.21
per cent during 2006–07 and 27.33 and 67.3 per cent during 2007–08. However, IR reflectance values declined after 95 DAS and
70 DAS up to harvesting during 2006–07 and 2007–08. This lower reflectance may have been due to the onset of senescence. The
highest RR and NDVI values were recorded under pure wheat treatment and minimum under pure weed plots. This may be due to
dark green colour and better vigor of the wheat as compared to Avena ludoviciana. It was observed that by using RR and NDVI, pure wheat can be distinguished from pure populations of Avena ludoviciana after 34 DAS and different levels of weed populations can be discriminated amongst themselves from 68 DAS up to 107 DAS during
both the years of investigation. 相似文献
422.
S. K. Goyal B. S. Chaudhary O. Singh G. K. Sethi P. K. Thakur 《Journal of the Indian Society of Remote Sensing》2010,38(2):355-364
The present study has analyzed the variability in depth to water level below ground level (bgl) vis-à-vis groundwater development
and rainfall from 1987 to 2007 in agriculture dominated Kaithal district of Haryana state in India. Spatial distribution of
groundwater depth was mapped and classified into different zones using ILWIS 3.6 GIS tools. Change detection maps were prepared
for 1987–1997 and 1997–2007. Groundwater depletion rates during successive decades were compared and critical areas with substantial
fall in groundwater levels were identified. Further, block wise trends of change in groundwater levels were also analyzed.
The water table in fresh belt areas of the district (Gulha, Pundri and Kaithal blocks) was observed to decline by a magnitude
ranging from 10 m to 23 m. In Kalayat and Rajaund blocks, the levels were found fluctuating in a relatively narrow range of
4–9 m. During 1997–2007, the depletion has been faster compared to the preceding decade. Excessive groundwater depletion in
major part of the district may be attributed to indiscriminate abstraction for irrigation and decrease in rainfall experienced
since 1998. Changes in cropping pattern and irrigation methods are needed in the study area for sustainable management of
the resource. 相似文献
423.
In the past researchers have suggested hard classification approaches for pure pixel remote sensing data and to handle mixed
pixels soft classification approaches have been studied for land cover mapping. In this research work, while selecting fuzzy
c-means (FCM) as a base soft classifier entropy parameter has been added. For this research work Resourcesat-1 (IRS-P6) datasets
from AWIFS, LISSIII and LISS-IV sensors of same date have been used. AWIFS and LISS-III datasets have been used for classification
and LISS-III and LISS-IV data were used for reference data generation, respectively. Soft classified outputs from entropy
based FCM classifiers for AWIFS and LISS-III datasets have been evaluated using sub-pixel confusion uncertainty matrix (SCM).
It has been observed that output from FCM classifier has higher classification accuracy with higher uncertainty but entropy-based
classifier with optimum value of regularizing parameter generates classified output with minimum uncertainty. 相似文献
424.
Kinematic precise point positioning at remote marine platforms 总被引:6,自引:2,他引:6
Precise kinematic differential positioning using the global positioning system (GPS) at a marine platform usually requires
a relatively short distance (e.g. <500 km) to a land-based reference station. As an alternative, precise point positioning
(PPP) is normally considered free from this limiting requirement. However, due to the prerequisite of network-based satellite
products, PPP at a remote marine platform may still be affected by its distance to the reference network. Hence, this paper
investigates this scenario by configuring rings of reference stations with different radii centered on a to-be-positioned
marine platform. Particularly, we applied ambiguity resolution at a single station to PPP by estimating uncalibrated phase
delays (UPDs). We used three rings of reference stations centered on a vessel, with radii of roughly 900, 2,000 and 3,600 km,
to determine satellite clocks and UPDs independently. For comparison, we also performed differential positioning based on
a single reference station with baseline lengths of about 400, 1,700 and 2,800 km. We demonstrate that, despite the increasing
ring-network radius to a few 1,000 km, the overall change in accuracy of the satellite clocks that are used at the vessel
is smaller than 0.02 ns, and the RMS values of differences between the three sets of narrow-lane UPD estimates are around
0.05 cycles only. Moreover, the kinematic positioning accuracy of PPP is affected by the increasing ring-network radius, but
can still achieve several centimeters after ambiguity resolution when the vessel is over a few 1,000 km away from the ring
network, showing better performance than that of differential positioning. Therefore, we propose that ambiguity-fixed PPP
can be used at remote marine platforms that support precise oceanographic and geophysical applications in open oceans. 相似文献
425.
Pavagada taluk of Tumkur district in Karnataka is one of the most backward taluks receiving less than 500 mm annual rainfall.
The maximum area of the taluk is under monocropping, reasons for the same were not documented well. The present study was
carried out using remote sensing data along with field survey and laboratory analysis for assessing the potentials and limitations
of soil. Using the basic information on soil, climate and topography based on the matching exercise between the growth and
production requirements of the crop, suitability of soils for groundnut, paddy and finger millet was assessed as per FAO land
evaluation. The soil suitability maps were prepared using Arc GIS software. About 48 per cent of the total area was moderate
to marginally suitable and 13 per cent of the area was not suitable for both groundnut and finger millet. Lowland areas covering
12 per cent of the area was highly suitable, 15 per cent was moderate to marginally suitable and 20 per cent was not suitable
for paddy cultivation. 相似文献
426.
Quantities like tropospheric zenith delays or station coordinates are repeatedly measured at permanent VLBI or GPS stations
so that time series for the quantities at each station are obtained. The covariances of these quantities can be estimated
in a multivariate linear model. The covariances are needed for computing uncertainties of results derived from these quantities.
The covariance matrix for many permanent stations becomes large, the need for simplifying it may therefore arise under the
condition that the uncertainties of derived results still agree. This is accomplished by assuming that the different time
series of a quantity like the station height for each permanent station can be combined to obtain one time series. The covariance
matrix then follows from the estimates of the auto- and cross-covariance functions of the combined time series. A further
approximation is found, if compactly supported covariance functions are fitted to an estimated autocovariance function in
order to obtain a covariance matrix which is representative of different kinds of measurements. The simplification of a covariance
matrix estimated in a multivariate model is investigated here for the coordinates of points of a grid measured repeatedly
by a laserscanner. The approximations are checked by determining the uncertainty of the sum of distances to the points of
the grid. To obtain a realistic value for this uncertainty, the covariances of the measured coordinates have to be considered.
Three different setups of measurements are analyzed and a covariance matrix is found which is representative for all three
setups. Covariance matrices for the measurements of laserscanners can therefore be determined in advance without estimating
them for each application. 相似文献
427.
A new approach to GPS ambiguity decorrelation 总被引:12,自引:1,他引:12
Ambiguity decorrelation is a useful technique for rapid integer ambiguity fixing. It plays an important role in the least-squares
ambiguity decorrelation adjustment (Lambda) method. An approach to multi-dimension ambiguity decorrelation is proposed by
the introduction of a new concept: united ambiguity decorrelation. It is found that united ambiguity decorrelation can provide
a rapid and effective route to ambiguity decorrelation. An approach to united ambiguity decorrelation, the HL process, is
described in detail. The HL process performs very well in high-dimension ambiguity decorrelation tests.
Received: 9 March 1998 / Accepted: 1 June 1999 相似文献
428.
Contribution of new AAM data source to δLOD excitation 总被引:1,自引:0,他引:1
Data sets of the changes of the length of day (ΔLOD) measured by space geodetic techniques and of the atmospheric angular
momentum (AAM) derived from global meteorological data by the National Meteorological Center (NMC) and the National Centers
for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) are used to reanalyze and study the excitations
of ΔLOD, and to examine and compare the contribution of each AAM series to ΔLOD. The main results are as follows.
1. The AAM reanalyzed with the assimilated global meteorological data by NCEP/NCAR are more accurate and have lower noise
than the original AAM derived by NMC. The NCEP/NCAR-based AAM is more consistent with the changes of the length-of-day series.
2. The NCEP reanalysed AAM data may better explain the non-tidal LOD variations on intraseasonal to interannual time scales,
especially on the quasi-biennial time scale. The atmosphere cannot, however, explain all LOD variations; other excitation
sources are possible.
3. The effects of atmosphere on the estimated values of tides for ΔLOD components up to a month are weak. The preliminary
results of the annual and semiannual tides can be estimated after removing the effects of atmosphere from ΔLOD.
Received: 27 May 1998 / Accepted: 22 March 1999 相似文献
429.
430.
V. K. Srivastava A. M. Rai R. K. Dixit M. P. Oza A. Narayana 《International Journal of Applied Earth Observation and Geoinformation》1999,1(3-4)
Sal (Shorea robusta) is an important forest tree species in north and north-eastern India. Large-scale plantations of this species have been raised there under taungya and coppice system of management. The conventional volume table prepared for high sal forest is referred to infer the volume of production of this species. Earlier workers have used aerial remote sensing data to develop volume tables of this species. In the present study a volume table for sal is developed based on remotely sensed satellite data using a regression technique. A two-step method was developed to estimate mean tree volume from satellite data. In step 1, mean crown diameter — an intermediate variable - was estimated from satellite data. In step 2, the estimated mean crown diameter was used to estimate the mean tree volume. Addition of age of the crop as an independent variable improved the predictive ability of the regression equation. 相似文献