RU2009115787A - METHOD FOR DETERMINING ECOLOGICAL STATE OF FORESTS - Google Patents
METHOD FOR DETERMINING ECOLOGICAL STATE OF FORESTS Download PDFInfo
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- RU2009115787A RU2009115787A RU2009115787/21A RU2009115787A RU2009115787A RU 2009115787 A RU2009115787 A RU 2009115787A RU 2009115787/21 A RU2009115787/21 A RU 2009115787/21A RU 2009115787 A RU2009115787 A RU 2009115787A RU 2009115787 A RU2009115787 A RU 2009115787A
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Abstract
Способ определения экологического состояния лесов, включающий их зондирование с аэрокосмического носителя, измерение коэффициента спектральной яркости (КСЯ) древесного полога, вычисление по измеренным значениям КСЯ, индексов жизненности (g) и красного поражения (г), получение двухмерных изображений поля яркости I(x,y) древесного полога в зеленой (G) и красной (R) полосе видимого диапазона, оценку состояния лесных массивов по измеренным значениям КСЯ и I(x,y), отличающийся тем, что осуществляют синхронное измерение КСЯ и I(x,y) одних и тех же участков, соосно установленными на подвижной телеуправляемой платформе спектрометром и цифровыми камерами G и R диапазонов, поля зрения которых совмещены, вычисляют вегетационный индекс (NDVI) насаждения анализируемого участка в ближнем ИК диапазоне, формируют результирующую матрицу изображения путем попиксельного сложения матриц изображений (G) и (R), программной обработкой сигнала матриц изображений вычисляют среднюю частоту пространственных спектров результирующей матрицы и матрицы (R) соответственно Fcp0, FcpR, а также площади рельефов древесных пологов Sp0 и SpR, рассчитывают характеристики древостоев участка, полноту П0, ПR и диаметр кроны среднего дерева D0=1/Fcp0, DR=1/FcpR определяют весовой коэффициент α через отношения α=(ПR/П0)(DR/D0)1,2 коэффициента запаса ослабленных деревьев ПRDR 1,2 к общему коэффициентному запаса участка П0D0 1,2, а степень ослабленности Q древостоя участка определяют по регрессионной зависимости, прокалиброванной по измерениям эталонных участков, вида: ! Q=0,6(gNDVI)-1(r(1-NDVI))1,3(ПR/П0)(DR/D0)1,2. A method for determining the ecological state of forests, including their sounding from an aerospace carrier, measuring the spectral brightness coefficient (QJC) of the canopy, calculating the measured QWS, vitality indices (g) and red damage (g), obtaining two-dimensional images of the brightness field I (x, y) the canopy in the green (G) and red (R) strip of the visible range, assessing the state of the forests using the measured values of the QWF and I (x, y), characterized in that they carry out synchronous measurement of the QWW and I (x, y) of one the same area c, coaxially mounted on a mobile telecontrolled platform spectrometer and digital cameras of G and R ranges, the field of view of which are combined, calculate the vegetation index (NDVI) of the plantings of the analyzed area in the near IR range, form the resulting image matrix by pixel-by-pixel addition of image matrices (G) and ( R), software processing the signal of the image matrices calculates the average frequency of the spatial spectra of the resulting matrix and matrix (R), respectively, Fcp0, FcpR, as well as the area of the reliefs of the tree of the canopies Sp0 and SpR, the characteristics of the stand stands are calculated, the completeness П0, PR and the crown diameter of the middle tree D0 = 1 / Fcp0, DR = 1 / FcpR determine the weight coefficient α through the relations α = (PR / П0) (DR / D0) 1, 2 reserve factors of weakened trees PRDR 1,2 to the total reserve coefficient of the site П0D0 1,2, and the degree of weakening Q of the stand stand is determined by the regression dependence, calibrated by measurements of the reference sites, of the form:! Q = 0.6 (gNDVI) -1 (r (1-NDVI)) 1.3 (PR / P0) (DR / D0) 1.2.
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RU2009115787/21A RU2416192C2 (en) | 2009-04-27 | 2009-04-27 | Method to identify ecological condition of forests |
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RU2009115787/21A RU2416192C2 (en) | 2009-04-27 | 2009-04-27 | Method to identify ecological condition of forests |
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RU2009115787A true RU2009115787A (en) | 2010-11-10 |
RU2416192C2 RU2416192C2 (en) | 2011-04-20 |
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CN109859101A (en) * | 2019-01-18 | 2019-06-07 | 黑龙江八一农垦大学 | The recognition methods of corps canopy thermal infrared images and system |
CN112577907A (en) * | 2020-11-18 | 2021-03-30 | 上海市园林科学规划研究院 | Urban green land tree crown loss rate calculation method |
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RU2489845C1 (en) * | 2012-04-24 | 2013-08-20 | Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Московский государственный университет леса" | Method for monitoring of forest |
RU2558212C2 (en) * | 2013-06-14 | 2015-07-27 | Государственное образовательное учреждение высшего профессионального образования "Московский государственный университет леса" (ГОУ ВПО МГУЛ) | Method of determining rating of type of species for landscaping plan |
RU2693255C1 (en) * | 2018-07-11 | 2019-07-01 | Общество с ограниченной ответственностью "АгроДронГрупп" | Technique for remote reconnaissance diagnostics of providing plants with nitrogen (using a multispectral camera and unmanned aerial vehicles) |
DE202022100123U1 (en) | 2022-01-11 | 2022-01-21 | Yadunath Pathak | Intelligent agricultural field monitoring system using IOT sensors and machine learning |
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2009
- 2009-04-27 RU RU2009115787/21A patent/RU2416192C2/en active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109859101A (en) * | 2019-01-18 | 2019-06-07 | 黑龙江八一农垦大学 | The recognition methods of corps canopy thermal infrared images and system |
CN112577907A (en) * | 2020-11-18 | 2021-03-30 | 上海市园林科学规划研究院 | Urban green land tree crown loss rate calculation method |
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