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Tarim University (2019)

A Study on Model of Soil Organic Matter in Arid Areas of South Xinjiang Based on Hyperspectral Data

李阳;

Titre : A Study on Model of Soil Organic Matter in Arid Areas of South Xinjiang Based on Hyperspectral Data

Auteur : 李阳;

Grade : Master’s Theses 2019

Université : Tarim University

Résumé partiel
Soil organic matter is the general term of carbonaceous organic matters in soil,which can provide nutrients for plant growth.The content of soil organic matters is an important index to measure soil fertility.The spatial distribution of soil organic matters is an important basis of grain yield estimation,soil quality evaluation and modern agricultural production.Although the traditional methods of soil agrochemical analysis can accurately determine the content of soil organic matters,field sampling can easily destroy the soil and it needs to use chemical methods indoors which takes a long time.There are also many other problems,such as high cost,heavy element workload,and impossibility to get spatial distribution data of soil organic matters in a short time and continuous determination of soil organic matter in a large area,all of which make these traditional methods very limited.Conventional optical remote sensing has relatively few bands and low spectral resolution.Although it can cover a wide area,there are great errors in regional monitoring of the content of soil organic matters.Soil hyperspectral technology is a new method to monitor soil organic matters.The corresponding ground remote sensing experiment is an important basis to ensure the detection precision.The spectral measurement close to the ground is an important basis for remote sensing images and data interpretation.Meanwhile,soil hyperspectral technology has the characteristics of pollution-free,damage-free,low cost,large amounts of information and high efficiency,etc.,which is widely applied in the study of soil organic matters.This study takes the farmland soil and desert soil of the arid area in South Xinjiang as the objects of study.The field Spec Pro FR spectrometer of ASD Company is used to measure the organic matter content of the samples and visible near infrared spectrum data in a dark room where light conditions can be controlled.On this basis,Different prediction models were built by adopting various methods of spectral data transformation.

Mots clés : hyperspectral; Fuzzy k-means clustering; organic matter cotent; soil; inversion model;

Présentation (CNKI)

Page publiée le 18 mai 2020