HYPERSPECTRAL REMOTE SENSING FOR TEMPERATE HORTICULTURE FRUIT CROPS IN NORTHERN-WESTERN HIMALAYAN REGION: A REVIEW

<p><strong>Abstract.</strong> The North-Western Indian States and the North-Eastern Indian States of Indian Himalayan Region (IHR) are rich of various temperate horticulture fruits such as the Apple, Pear, Peach, Plum, Apricot, Sweet Cherry and Sour Cherry. These horticulture fruits are majorly grown in North-western region comprising of Jammu and Kashmir (J&amp;K), Himachal Pradesh (H.P.) and Uttarakhand (U.K.). These states of IHR share the same type of geographical and climatic condition and having nearly common flora and fauna. Out of the various horticulture temperate fruit crops apple and apricot have the potential to make a positive impact on economy of these states. Hyper-spectral remote sensing due to its capability of identifying the small variations within a particular feature (or land cover) is an important tool for discriminating or mapping the specific land cover among the various existing classes. Contrary to multispectral remote sensing, it is not only capable of mapping the vegetation class among the various classes in the land but also has the potential to discriminate within the different classes of vegetation as well as diseases identification within a class. This specific class level discrimination of vegetation is an important tool for mapping. In hyper-spectral remote sensing this variation is observed through the possible discrimination of spectral signatures of various vegetation classes. Thus, due to its fine spectral bands this type of remote sensing data has the potential to map the horticulture crops. However, the processing of hyper-spectral data always require the in-situ measurements or existing spectral library. Such a type of spectral library is never generated for the horticulture crops of IHR. This can be further useful for identifying the disease affected crops and input for developing model for estimation of biophysical and biochemical parameters. Therefore, in this study, a need for the development of spectral library for temperate horticulture crop has been highlighted. Further, a methodology for the processing of hyperspectral data has also be proposed.</p>

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Watershed Health Changes based on Vegetated Land Cover in the Upper Citarum Watershed, West Java, Province, Indonesia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/940/1/012045 ◽

2021 ◽

Vol 940 (1) ◽

pp. 012045

Author(s):

K Marko ◽

D Sutjiningsih ◽

E Kusratmoko

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Supervised Classification ◽

Agricultural Land ◽

Landsat Imagery ◽

West Java ◽

Health Changes ◽

The North ◽

Health Level ◽

Watershed Health

Abstract The increase in built-up land and the decrease in vegetated land due to human activities have worsened watershed health from time to time. This study aims to assess the watershed’s health and changes every ten years based on the percentage of vegetated land cover except agricultural land in the Upper Citarum watershed, West Java. Land cover information was obtained from the processing of Landsat imagery in 1990, 2000, 2010, and 2020 based on remote sensing using the supervised classification method. The watershed health level is determined by calculating the percentage of vegetated land cover of 173 catchments. The results show that the area of the vegetated land cover decreased from 1990 to 2000, then increased from 2000 to 2010, and decreased again from 2010 to 2020. Changes in the area of vegetated land in each period of the year affect the health level of the watershed in a spatiotemporal manner. Although these changes occur in a fluctuating manner, the number of unhealthy catchments in the Upper Citarum watershed is increasing, especially in the Ci Kapundung sub-watershed in the north and Ci Sangkuy in the south.

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Trend of atmospheric aerosols over the north western Himalayan region, India

Atmospheric Environment ◽

10.1016/j.atmosenv.2005.01.038 ◽

2005 ◽

Vol 39 (27) ◽

pp. 4817-4825 ◽

Cited By ~ 25

Author(s):

K GAJANANDA ◽

J KUNIYAL ◽

G MOMIN ◽

P RAO ◽

P SAFAI ◽

...

Keyword(s):

Atmospheric Aerosols ◽

Himalayan Region ◽

The North ◽

Western Himalayan Region ◽

North Western

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The Methods of Mapping Lithology with AVIRIS Data

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.3879 ◽

2014 ◽

Vol 955-959 ◽

pp. 3879-3882

Author(s):

Yan Fang Ming ◽

Li Yang

Keyword(s):

Remote Sensing ◽

Measurement Data ◽

Absorption Index ◽

Mining District ◽

Spectral Absorption ◽

Spectral Library ◽

Hyper Spectral ◽

Ground Measurement ◽

Spectral Angle

A hyper-spectral remote sensing instrument AVIRIS was used to map lithology. Ground measurement data of lithology from ASTER Spectral Library were used to analyze the characters of the spectrum and form the model to estimate the type of lithologies. we process the spectrum with the methods of spectral angle mapping, and spectral absorption index etc. To enhance the significance of the spectrum character, we used the methods of spectral angle mapping, and spectral absorption index etc to process the spectrum. An AVIRIS data covers the Cuprite mining district in western Nevada, USA was used to do the experiment, result shows that the lithologies got from the AVIRIS have a high consistence with groud measurement.

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