NDLI: Quantitative Mapping of Soil Nitrogen Content Using Field Spectrometer and Hyperspectral Remote Sensing

Content Provider	IEEE Xplore Digital Library
Author	Jian Wu Yaolin Liu Dan Chen Jing Wang Xu Chai
Copyright Year	2009
Abstract	Mapping and dating soil total nitrogen is of great importance in soil use and evaluation. In this study we examine the feasibility of soil nitrogen content by using hyperspectrally reflective remote sensing methodology. This technique was tested in Hengshan County, northern Shanxi Province of China. The soil reflectance properties of samples were measured in the laboratory by ASD field spectrometer. The correlation analysis related with nitrogen content was processed with the spectral reflectance factors (the first derivative reflectance, the logarithmic reflectance and absorption depth). The results show that the first derivative reflectance at sensitive bands of 480nm, 980nm and 2210nm has more notable correlation coefficient as compared to other parameters. Knowing these correlations we were able to build up the multivariate regression model and map the soil total nitrogen content by calculating each pixel of Hyperion image. The accuracy assessment by relating predicted nitrogen values with measured ones of a linear regression showed that the map is reliable and significantly correlative with known stabilization processes throughout the study area. Moreover, this quantitative methodology developed in this study for mapping soil total nitrogen content can also be applied to other regions throughout the world.
Starting Page	379
Ending Page	382
File Size	657946
Page Count	4
File Format	PDF
ISBN	9780769536828
DOI	10.1109/ESIAT.2009.296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectroscopy absorption depth hyperspectral remote sensing Hyperspectral sensors quantitative mapping Laboratories Nitrogen soil nitrogen content Remote sensing Reflectivity Soil measurements spectral derivative Variable speed drives multivariate statistical regression Hyperspectral imaging Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Rangeland monitoring using hyperspectral remote sensing data and spectral mixture analysis

Evaluation of Corn Nitrogen Nutrition Using Hyperspectral Remote Sensing

Correlation Analysis between Biochemical Contents of Camphor and in Situ Hyperspectral Measurements

Corn chlorophyll estimation with in situ collected hyperspectral reflectance data

Fluorescence as a potential indicator of coral health

Improved Remotely-Sensed Estimates of Crop Residue Cover by Incorporating Soils Information

Estimation of Total Nitrogen Content in Rubber Plantation Soil Based on Hyperspectral and Fractional Order Derivative

Characterization of powdery mildew in winter wheat using multi-angular hyperspectral measurements

Research on relation between water evaporation and spectral curve of leaves based on hyperspectral reflectance

Quantitative Mapping of Soil Nitrogen Content Using Field Spectrometer and Hyperspectral Remote Sensing

Similar Documents

Rangeland monitoring using hyperspectral remote sensing data and spectral mixture analysis

Evaluation of Corn Nitrogen Nutrition Using Hyperspectral Remote Sensing

Correlation Analysis between Biochemical Contents of Camphor and in Situ Hyperspectral Measurements

Corn chlorophyll estimation with in situ collected hyperspectral reflectance data

Fluorescence as a potential indicator of coral health

Improved Remotely-Sensed Estimates of Crop Residue Cover by Incorporating Soils Information

Estimation of Total Nitrogen Content in Rubber Plantation Soil Based on Hyperspectral and Fractional Order Derivative

Characterization of powdery mildew in winter wheat using multi-angular hyperspectral measurements

Research on relation between water evaporation and spectral curve of leaves based on hyperspectral reflectance

Quantitative Mapping of Soil Nitrogen Content Using Field Spectrometer and Hyperspectral Remote Sensing