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91.
An unsupervised machine-learning workflow is proposed for estimating fractional landscape soils and vegetation components from remotely sensed hyperspectral imagery. The workflow is applied to EO-1 Hyperion satellite imagery collected near Ibirací, Minas Gerais, Brazil. The proposed workflow includes subset feature selection, learning, and estimation algorithms. Network training with landscape feature class realizations provide a hypersurface from which to estimate mixtures of soil (e.g. 0.5 exceedance for pixels: 75% clay-rich Nitisols, 15% iron-rich Latosols, and 1% quartz-rich Arenosols) and vegetation (e.g. 0.5 exceedance for pixels: 4% Aspen-like trees, 7% Blackberry-like trees, 0% live grass, and 2% dead grass). The process correctly maps forests and iron-rich Latosols as being coincident with existing drainages, and correctly classifies the clay-rich Nitisols and grasses on the intervening hills. These classifications are independently corroborated visually (Google Earth) and quantitatively (random soil samples and crossplots of field spectra). Some mapping challenges are the underestimation of forest fractions and overestimation of soil fractions where steep valley shadows exist, and the under representation of classified grass in some dry areas of the Hyperion image. These preliminary results provide impetus for future hyperspectral studies involving airborne and satellite sensors with higher signal-to-noise and smaller footprints.  相似文献   
92.
Salinization is one of the major soil degradation threats occurring worldwide. This study evaluates the feasibility of operational surface soil salinity mapping based on state-of-the-art Earth Observation (EO) products captured by sensors on-board WorldView-2 (WV2) and Landsat 8 satellites. The proposed methods are tested in Timpaki, south-central Crete,Greece, where brackish water irrigation puts soil health at risk of soil salinization. In all cases, EO products are calibrated against soil samples collected from bare soil locations. Results indicate a moderate correlation of observed ECe values with the investigated remote sensing parameters. Regarding sensitivity to saline soil, the yellow band displays higher values. Comparison between methods used in the literature shows that those developed specifically for soil salinity, and especially index S5, perform better. The proposed ‘detection index’ and 3D PCA transformation methodology perform reasonably well in detecting areas with high ECe values and provide a simple and effective operational alternative for saline topsoil detection and mapping.  相似文献   
93.
Detecting soil salinity changes and its impact on vegetation cover are necessary to understand the relationships between these changes in vegetation cover. This study aims to determine the changes in soil salinity and vegetation cover in Al Hassa Oasis over the past 28 years and investigates whether the salinity change causing the change in vegetation cover. Landsat time series data of years 1985, 2000 and 2013 were used to generate Normalized Difference Vegetation Index (NDVI) and Soil Salinity Index (SI) images, which were then used in image differencing to identify vegetation and salinity change/no-change for two periods. Soil salinity during 2000–2013 exhibits much higher increase compared to 1985–2000, while the vegetation cover declined to 6.31% for the same period. Additionally, highly significant (p < 0.0001) negative relationships found between the NDVI and SI differencing images, confirmed the potential long-term linkage between the changes in soil salinity and vegetation cover.  相似文献   
94.
The Mau Forest Complex is Kenya's largest fragment of Afromontane forest, providing critical ecosystem services, and has been subject to intense land use changes since colonial times. It forms the upper catchment of rivers that drain into major drainage networks, thus supporting the livelihoods of millions of Kenyans and providing important wildlife areas. We present the results of a sedimentological and palynological analysis of a Late Pleistocene–Holocene sediment record of Afromontane forest change from Nyabuiyabui wetland in the Eastern Mau Forest, a highland region that has received limited geological characterization and palaeoecological study. Sedimentology, pollen, charcoal, X-ray fluorescence and radiocarbon data record environmental and ecosystem change over the last ~16 000 cal a bp. The pollen record suggests Afromontane forests characterized the end of the Late Pleistocene to the Holocene with dominant taxa changing from Apodytes, Celtis, Dracaena, Hagenia and Podocarpus to Cordia, Croton, Ficus, Juniperus and Olea. The Late Holocene is characterized by a more open Afromontane forest with increased grass and herbaceous cover. Continuous Poaceae, Cyperaceae and Juncaceae vegetation currently cover the wetland and the water level has been decreasing over the recent past. Intensive agroforestry since the 1920s has reduced Afromontane forest cover as introduced taxa have increased (Pinus, Cupressus and Eucalyptus).  相似文献   
95.
1996—2015年黄河源区植被覆盖度提取和时空变化分析   总被引:2,自引:2,他引:0  
研究黄河源区植被覆盖度时空变化对于深入理解青藏高原多年冻土区在气候变化和人类活动双重作用下的植被响应,以及为黄河源区生态环境保护和治理提供决策具有重要的意义。以陆地卫星(Landsat)影像为主要数据源,利用多端元混合像元分解模型(Multiple Endmember Spectral Mixture Analysis,MESMA),完成了1996—2015年黄河源区4.4万km2、7个时相的植被覆盖度提取,并基于转移矩阵和一元线性回归趋势法分析了植被覆盖度变化情况。结果表明:黄河源区东南部植被覆盖度较高,西北部植被覆盖度较低,且植被覆盖度在空间上由东南向西北呈递减趋势。1996—2004年植被覆盖度整体呈下降趋势,2004—2015年植被覆盖度呈增加趋势。1996—2015年植被覆盖度呈增加趋势的区域占57.25%,基本不变的区域占16.02%,植被覆盖度呈下降趋势的区域占26.73%。植被覆盖度下降的主要原因是黄河源头及一些河谷地带、环湖地区受人类影响较大,且东南部海拔较低地区受到过度放牧的影响。尽管黄河源区1996—2015年植被覆盖度总体呈改善趋势,但毒杂草的面积也由1996年的16 060 km2增加到2015年的22 942 km2,20年间增加了6 882 km2,毒杂草面积的增加对黄河源区局部地区畜牧业的发展有不利影响。  相似文献   
96.
为探明土地利用变化对黄土高原长期土壤水分平衡的影响,利用校验的Hydrus-1D模型模拟黄土高原北部神木六道沟小流域1981—2050年农耕地—苜蓿草地—天然草地情景下0~4 m土壤水分变化过程,量化土壤储水量、深层渗漏和蒸散发等水文变量的演变特征。结果显示:①农耕地期间年降水的88%为蒸散发消耗,11%为渗漏损失。②苜蓿草地种植后6 a内,蒸散发大幅增加至年降水的108%,土壤水分负平衡,0~4 m土壤储水量以52 mm/a的速率降低;至7~13 a,年降水几乎全部被蒸散发消耗。③苜蓿草地转变为天然草地后,蒸散发量下降31%,土壤水分以45 mm/a的速率逐渐补给,之后年降水量的92%用于蒸散发,8%为渗漏消耗,土壤水分处于相对稳定状态。研究表明不同土地利用方式下的土壤水分平衡模式具有显著差异,种植高耗水植被可造成土壤水分负平衡,导致土壤干燥化,进而对土壤水分补给产生负面效应,改变植被类型可使土壤干层得到有效改善。  相似文献   
97.
To accurately evaluate ecological risks trigged by groundwater exploitation, it must be clarified the relationship between vegetation and groundwater. Based on remote sensing data sets MOD13Q1, groundwater table depth (WTD) and total dissolved solids (TDS), the relationship between groundwater and natural vegetation was analyzed statistically in the main plain areas of Qaidam Basin. The results indicate that natural vegetation is groundwater-dependent in areas where WTD is less than 5.5 m and TDS is less than 7.5 g/L. Aquatic vegetation, hygrophytic vegetation and hygrophytic saline-alkali tolerant vegetation are mainly distributed in areas with WTD <1.1 m. Salt-tolerant and mesophytic vegetation mainly occur in areas with WTD of 1.4-3.5 m, while the xerophytic vegetation isprimarily present in areas where WTD ranges from 1.4 m to 5.5 m. Natural vegetation does not necessarily depend on groundwater in areas with WTD >5.5 m. For natural vegetation, the most suitable water TDS is less than 1.5 g/L, the moderately suitable TDS is 1.5-5.0 g/L, the basically suitable TDS is 5.0-7.5 g/L, and the unsuitable TDS is more than 7.5 g/L.  相似文献   
98.
自然保护区是生物多样性最丰富的区域,针对近年来庐山自然保护区森林生物多样性进行调查,了解保护区内植被的分布及其变化,对于保护庐山境内的林业资源具有重要的意义.论文利用2015-2018年Proba-Ⅴ卫星100m分辨率5d植被指数产品,使用最大值合成法、Hants时间序列谐波分析方法对数据进行平滑降噪处理,并采用随机森...  相似文献   
99.
利用石羊河流域1959—2018年气象、水文和卫星遥感资料,采用线性倾向率、滑动t检验和相关系数(Pearson)等方法,分析石羊河流域内生态环境因素的变化事实及相互关系,得到气候变化对流域生态环境的影响程度。结果表明:石羊河流域气温呈显著上升趋势,增温速度为下游0.42℃·(10 a)-1>中游0.36℃·(10 a)-1>上游0.35℃·(10 a)-1,近10 a增温最显著,较20世纪60年升高了1.67℃。四季气温均呈显著上升趋势,增温速度为冬季>秋季>春季>夏季。降水呈缓慢增加趋势,增幅为上游8.3 mm·(10 a)-1>中游7.0 mm·(10 a)-1>下游4.1 mm·(10 a)-1,近10 a增加最显著,较20世纪60年代增加了17%。四季降水呈弱增加趋势,增加幅度为夏季>春季>秋季>冬季。河流流量基本持平,植被覆盖面积和归一化植被指数(NDVI)显著增大。近20 a流域气候...  相似文献   
100.
黄河流域NDVI/土地利用对蒸散发时空变化的影响   总被引:2,自引:0,他引:2  
基于蒸散发(ET)、归一化植被指数(NDVI)及土地利用数据利用M-K检验、Sen趋势分析等方法,研究2001—2015年黄河流域ET时空分布及不同植被覆盖/土地利用下的ET变化规律.结果 表明:(1)黄河流域年均ET呈东南高西北低的空间分布格局,与植被覆盖和土地利用的关系具有较好的一致性;(2)黄河流域ET、NDVI...  相似文献   
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