基于RNMU的多源星载SAR影像融合与土地覆盖分类

为充分利用多时相、多极化SAR数据在不同土地覆盖类型中的后向散射特性,将递归非负矩阵下近似(Recursive nonnegative matrix underapproximation,RNMU)算法引入多源SAR数据的融合,并利用融合后的SAR影像实现较高精度的土地覆盖分类。融合过程中,在根据不同模式SAR影像特点进行多源SAR影像预处理的基础上,基于RNMU算法通过对多个输入SAR影像进行矩阵分解及迭代最优矩阵求解,得到融合影像。为验证融合后SAR影像在土地覆盖分类中的应用效果,以吉林省大安市为研究区,对多时相Sentinel-1的VV/VH双极化SAR数据和高分三号(GF-3)的HH/HV双极化SAR数据进行了基于RNMU的影像融合,并利用融合后的SAR影像进行研究区主要土地覆盖类型分类。实验结果表明,基于RNMU融合影像的土地覆盖分类总体精度达93. 11%,Kappa系数为0. 86,与Gram-Schmid(G-S)融合方法相比,分类总体精度提高了6. 83个百分点,Kappa系数提高0. 12。多源SAR融合为SAR影像融合提供了有效手段,为土地覆盖分类提供了更多高精度的数据资源。     

不同光质组合对生菜生长和能量利用效率的影响

【目的】筛选较优的光质组合,提高人工光植物工厂生菜产量和能量利用效率。【方法】以光强为200μmol/(m~2·s),R/B为4/1的红蓝光(RB)为对照,在光强为150μmol/(m~2·s),R/B为4/1的红蓝背景光基础上,分别添加50μmol/(m~2·s)的绿光(G)、黄光(Y)、橙光(O)和远红光(FR)组成4种不同光质组合处理,分别用RBG、RBY、RBO和RBFR表示,对不同光质组合处理生菜的生长及形态、光合能力、能量利用效率等指标进行比较研究。【结果】RBG、RBO和RBFR处理生菜地上部鲜质量较RB处理分别增加14.5%,14.5%和30.8%,地上部干质量分别增加13.3%,24.1%和29.9%(P0.05)。RBG处理可以增加生菜的株高、总叶面积、净光合速率和能量利用效率。与RB处理相比,RBY处理对生菜的地上部干、鲜质量影响不显著;RBO处理可以提高生菜叶片的光合能力和能量利用效率。RBFR处理可以增加生菜的地上部干、鲜质量,但在实际生产中,生菜叶片较易出现烧尖现象。【结论】RBG和RBO是工光植物工厂生产中较为合适的光质组合。     

科尔沁沙地土地利用时空演变及空间自相关分析——以奈曼旗为例

利用奈曼旗2000、2006、2012年和2018年4期遥感数据，在ENVI5.3和ArcGIS10.2的支持下，运用土地利用动态变化空间分析模型、空间变化率指数和土地利用程度空间自相关，分析奈曼旗土地利用时空动态演变规律，为科尔沁沙地沙漠化土地治理及生态环境恢复提供参考信息。结果表明:1）各沙漠化土地整体呈逆转趋势，耕地、林草地和建筑用地呈发展趋势，研究区生态环境逐渐好转；2）人口增长、经济发展和政府政策导致耕地和林草地空间变化呈扩展型，各沙漠化土地呈衰退型；3）耕地和林草地与同期其他土地利用类型转化幅度逐年增长，空间变化率指数逐年增加，各沙化土地空间变化率指数逐年下降，仍需坚持生态环境恢复，沙漠化土地重点治理；4）土地利用程度呈高度空间自相关，在空间上的聚集区域固定，高-高值聚集在南部黄土区，面积逐年减少，低-低值聚集在中部沙区，面积减少幅度较小。     

基于农牧户视角的荒漠化治理中退牧还草技术综合评价——以内蒙古鄂托克旗为例

农牧户作为退牧还草技术的实施者和重要利益相关者,其对技术的感知度和认可度对于调整和完善退牧还草技术具有重要的现实意义。本文以草地荒漠化典型区域——内蒙古鄂托克旗为例,采用主观层次分析法和客观熵权法相结合的方法,构建包括技术成熟度、技术应用难度、技术相宜性、技术效益和技术推广潜力5个方面的退牧还草技术综合评价指标体系,基于农牧户视角对内蒙古鄂托克旗退牧还草技术进行综合评价。结果表明:1)基于农牧户视角的鄂托克旗退牧还草技术综合评价结果为0.469 8,说明农牧户对于退牧还草技术的综合评价处于中等水平,技术满意度一般,技术可持续性较弱。具体表现为农牧户对于技术自身的草地生态系统退化修复功能持以肯定态度,生态效益评价较高;而对于经济效益和技术可持续性评价较低。2)分项退牧还草技术评价结果由高到低的排序为:技术相宜性、技术效益、技术成熟度、技术应用难度、技术推广潜力。3)分区域研究得出,鄂托克旗退牧还草技术综合评价的区域差异性较小。因此,退牧还草技术的综合评价结果能够反映农牧户对于该项技术的满意程度,为退牧还草技术的持续有效实施提供参考。     

基于随机森林的高寒湿地地区土地覆盖遥感分类方法

高寒湿地是青藏高原典型独特的生态系统,是全球气候变化的敏感地带和预警区。利用遥感技术快速、准确地分类提取高寒湿地的土地覆盖信息,对当地生态安全监测和保护具有重要意义。本文以若尔盖湿地国家级自然保护区为研究区,首先,以高分一号(GF-1)遥感影像为数据源,融合光谱特征、水体指数、地形特征、植被指数和纹理信息等26个变量进行随机森林(Random forest,RF)分类实验;然后,根据袋外数据(Out of bag,OOB)的特征变量重要性得分和精度评价结果,选出高寒湿地地区土地覆盖类型的最优分类方案和特征;最后,对特征变量进行降维,并基于相同的变量,采用极大似然法(Maximum likelihood classification,MLC)、支持向量机(Support vector machine,SVM)、人工神经网络(Artificial neural network,ANN)和RF等方法进行分类,比较不同方法的优适性。结果表明:结合GF-1影像光谱、水体、植被、纹理特征和地形信息,使用26个变量的RF模型的分类精度最高,总体精度(Overall accuracy,OA)为90.07%,Kappa系数为0.86;通过RF模型的变量重要性分析可以有效选出重要的特征信息,在降低特征变量维度的同时,还能保证较高的分类精度; 4种分类方法中,RF算法是高寒湿地地区较合适的分类方法,OA比MLC基准方法高17.63个百分点,比SVM和ANN等机器学习算法分别高6.98、6.56个百分点。     

成渝经济区农地适度规模经营方式及其环境效应差异比较

以成渝经济区为研究区,比较成渝地区农地经营方式转变的地域差异,评估农地经营方式转变的可持续性.选取成都平原区的广汉市和重庆山地丘陵区的江津区为研究样区,基于两个区域的1 102份调查数据,运用能值分析法分析两地农地经营方式转变的差异.由于资源禀赋、家庭特征、经营方式、流转市场、流转价格等因素的差异影响,江津区与广汉市农户农地流转呈现区域"悖反"现象;从能值分析来看,广汉市通过规模化、产业化、机械化的大生产模式提升农业科技装备水平,降低投入、提高农业生产率,实现了良性的农业集约化;而江津区通过高投入—高产出的高效农业产业模式大幅提升农业产出,但过度追加不可更新要素的投入方式却不可持续,引起了劣质的农业集约化.因此,就转变农地经营方式而言,成都平原区应着眼于"降本增效",发展规模化、产业化、机械化的大生产模式;重庆山地区应着眼于"提质增效",以农业科技、装备和设施更新为驱动发展生态农业.     

Time‐lapse monitoring of soil water content using electromagnetic conductivity imaging

The volumetric soil water content (θ) is fundamental to agriculture because its spatiotemporal variation in soil affects the growth of plants. Unfortunately, the universally accepted thermogravimetric method for estimating volumetric soil water content is very labour intensive and time‐consuming for use in field‐scale monitoring. Electromagnetic (EM) induction instruments have proven to be useful in mapping the spatiotemporal variation of θ. However, depth‐specific variation in θ, which is important for irrigation management, has been little explored. The objective of this study was to develop a relationship between θ and estimates of true electrical conductivity (σ) and to use this relationship to develop time‐lapse images of soil θ beneath a centre‐pivot irrigated alfalfa (Medicago sativa L.) crop in San Jacinto, California, USA. We first measured the bulk apparent electrical conductivity (EC_a – mS/m) using a DUALEM‐421 over a period of 12 days after an irrigation event (i.e. days 1, 2, 3, 4, 6, 8 and 12). We used EM4Soil to generate EM conductivity images (EMCIs). We used a physical model to estimate θ from σ, accounting for soil tortuosity and pore water salinity, with a cross‐validation RMSE of 0.04 cm³/cm³. Testing the scenario where no soil information is available, we used a three‐parameter exponential model to relate θ to σ and then to map θ along the transect on different days. The results allowed us to monitor the spatiotemporal variations of θ across the surveyed area, over the 12‐day period. In this regard, we were able to map the soil close to field capacity (0.27 cm³/cm³) and approaching permanent wilting point (0.03 cm³/cm³). The time‐lapse θ monitoring approach, developed using EMCI, has implications for soil and water use and management and will potentially allow farmers and consultants to identify inefficiencies in water application rates and use. It can also be used as a research tool to potentially assist precision irrigation practices and to test the efficacy of different methods of irrigation in terms of water delivery and efficiency in water use in near real time.     

五指山耕地土壤养分现状调查与评价

为了明确海南山区耕地土壤养分空间分布特征，为热带山区耕地土壤养分管理提供思路。以海南五指山市耕地为研究对象，采用野外调查、采样和室内分析相结合的方法，阐述土壤养分现状，探讨其土壤养分分布规律。结果表明：五指山耕地土壤总体呈酸性，其pH值为5.1；土壤有机质、有效磷、速效钾和中量元素(钙、镁、硫)含量均为中等或偏下水平，土壤有效铜和有效锌含量较为丰富。五指山耕地土壤酸化和养分含量分布不均主要与气候、母质分布和施肥不平衡有关。     

The efficiency of nitrogen in cattle manures when applied to a double‐annual forage cropping system

The use of cattle manure (CM) for fertilization presents challenges for optimizing nitrogen (N) use. Our work aimed to assess N efficiencies, in a 6‐year experiment with three biennial rotations of four crops: oat–sorghum (first year) and ryegrass–maize (second year) in a rainfed humid Mediterranean area of Spain. Fertilization treatments included the following: control (no N), 250 kg mineral N ha^?1 year^?1 (250MN), three CM rates (supplying 170, 250 and 500 kg N ha^?1 year^?1) and four treatments where the two lowest CM rates were complemented with either 80 or 160 kg mineral N ha^?1 year^?1. Treatments were distributed randomly in each of three blocks. Maximum dry‐matter yield (~44–49 t ha^?1 rotation^?1) was achieved in the third rotation, and only the control and the 170CM yielded significantly less. Within the limitations of the EU Nitrate Directive, the N steady state supply of 170CM always requires a complement of mineral N (80 kg N ha^?1) to maximize N agronomic efficiency. The maximum N‐fertilizer replacement value (250CM vs. 250MN) was 0·67, without significant differences between the two treatments in other N‐related efficiency indexes, which indicates that plants took advantage of residual‐N effects. Nitrogen losses by leaching in the 250CM treatment were around 5–7% of the N applied. This reinforces the sustainability of manure recycling in long cropping seasons.     

Soil physical changes and maize growth in a structurally fragile tropical soil due to mulching and duration between irrigation intervals

Under tropical meteorological conditions, the volume of soil explored by plant roots is crucial for crop growth as it allows increased water and nutrient use efficiency. We hypothesized that, under different irrigation intervals, leguminous mulch can extend the duration between irrigation events but maintain crop performance, because decreased evaporative fluxes also reduce constraints to root exploration imposed by mechanical stress. We evaluated the combined effects of leguminous mulch and irrigation intervals on soil physical properties to determine whether the growth and productivity of maize were modified in a structurally fragile tropical soil. The experiment involved the following treatments: 4‐day irrigation intervals with soil mulched (4C) or bare (4S), 6‐day irrigation intervals with soil mulched (6C) or bare (6S), 8‐day irrigation intervals with soil mulched (8C) or bare (8S) and 10‐day irrigation intervals with soil mulched (10C) or bare (10S). Mulch decreased soil penetration resistance and increased to 4 days the favourable time for root development in drying soil. Relative to bare soil, mulch with a 6‐day irrigation interval almost doubled nitrogen uptake post‐tasselling, which decreased nitrogen remobilization and increased the crop growth rate during this stage. These conditions had a positive effect on the transpiration rate and stomatal conductance as well as on the growth and yield of maize. A 6‐day irrigation interval with mulch compared to 4 days with bare soil resulted in similar conditions for root development, but greater uptake of nitrogen (102.73–78.70 kg/ha) and better yield (6.2–5.3 t/ha), which means greater efficiency in nitrogen and water use.