The MCD43A3 V6 Albedo Model dataset is a daily 16-day product. It provides both directional hemispherical reflectance (black sky albedo) and bihemispherical reflectance (white sky albedo) for each of the MODIS surface reflectance bands (band 1 through band 7) as well as 3 broad spectrum bands (visible, near infrared, and shortwave). Each 500m/pixel daily image is generated using 16 days of data, centered on the given day. A quality band is also provided for each of the 10 albedo bands.
The MCD43A2 V6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Quality dataset is a 500 meter daily 16-day product. It contains all the quality information for the corresponding 16-day MCD43A3 Albedo and the MCD43A4 Nadir-BRDF (NBAR) products.
The MCD43A4 V6 Nadir Bidirectional Reflectance Distribution Function Adjusted Reflectance (NBAR) product provides 500 meter reflectance data of the MODIS "land" bands 1-7. These are adjusted using a bidirectional reflectance distribution function to model the values as if they were collected from a nadir view. The data are produced daily based on a 16-day retrieval period, with the image's date occurring on the 9th day. This product combines data from both the Terra and Aqua spacecrafts, choosing the best representative pixel from the 16-day period.
The MCD43A1 V6 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameters dataset is a 500 meter daily 16-day product. The Julian date represents the 9th day of the 16-day retrieval period, and consequently the observations are weighted to estimate the BRDF/Albedo for that day. The MCD43A1 algorithm, as is with all combined products, chooses the best representative pixel from a pool that includes all the acquisitions from both the Terra and Aqua sensors from the retrieval period.
2023-05-18：有 n 名工人。 给定两个数组 quality 和 wage ，
春联，又称“春贴”、“门对”、“对联”，是过年时所贴的红色喜庆元素“年红”中一个种类。它以对仗工整、简洁精巧的文字描绘美好形象，抒发美好愿望，是中国特有的文学形式，是华人们过年的重要习俗。当人们在自己的家门口贴年红（春联、福字、窗花等）的时候，意味着过春节正式拉开序幕。
ControlNet 1.1中的Tile模型（control_v11f1e_sd15_tile.pth）是一个令人惊叹的工具，其核心功能在于细节补全。具体而言，它能够巧妙地忽略原始图片中可能存在的缺陷细节（通常是不理想的），并以全新的细节进行补充，从而提升图像的质量。这种引人注目的能力使得我们能够欣赏到更加精美、细致的图像，带来视觉上的愉悦享受。
masterpiece, best quality, ((pure white background)), standing, black hair bun,cold face, full body, Denim jacket, white T-shirt, casual pants, (Fashionable clothing), happy, light effect, soft, super clear, high-definition picture, (front)
有 n 名工人。 给定两个数组 quality 和 wage ，其中，quality[i] 表示第 i 名工人的工作质量，其最低期望工资为 wage[i] 。
在这篇文章中，我们将深入探讨原神盲盒的艺术风格，以及如何运用AI绘画技术（Stable Diffusion）——来创造原神角色公仔。我们将通过实践操作让读者更好地理解这种技术，以及如何利用关键标签和Lora模型来优化生成的结果。
The MYD13Q1 V6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows.
The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A1) data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission.
js有一个sort排序函数，使用array.sort（function）传入排序函数就可以很做到排序
The MYD11A1 V6 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky are met. When this occurs, the pixel value is the average of all qualifying observations. Provided along with both the day-time and night-time surface temperature bands and their quality indicator layers are MODIS bands 31 and 32 and six observation layers.
The MODOCGA V6 ocean reflectance product consists of 1 kilometer reflectance data from Terra MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this is not an ocean product as the tiles produced are land tiles.
The MYDOCGA V6 ocean reflectance product consists of 1 kilometer reflectance data from Aqua MODIS bands 8-16. The product is referred to as ocean reflectance, because bands 8-16 are used primarily to produce ocean products, but this is not an ocean product as the tiles produced are land tiles.
The MOD11A1 V6 product provides daily land surface temperature (LST) and emissivity values in a 1200 x 1200 kilometer grid. The temperature value is derived from the MOD11_L2 swath product. Above 30 degrees latitude, some pixels may have multiple observations where the criteria for clear-sky are met. When this occurs, the pixel value is the average of all qualifying observations. Provided along with both the day-time and night-time surface temperature bands and their quality indicator layers are MODIS bands 31 and 32 and six observation layers.
The MOD13Q1 V6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows.
Airtest 生成报告的时候，每个不走都会自动带上截图，也可以自己添加截图，使用 snapshot()方法
AIGC技术不断更新迭代，国内出现了越来越多的新玩法，比如最近大家都在热议的AI绘画创意文字。
博客地址：https://www.jianshu.com/u/619b87e54936
只有把一个语言中的常用函数了如指掌了，才能在处理问题的过程中得心应手，快速地找到最优方案。
The MYD09A1 V6 product provides an estimate of the surface spectral reflectance of Aqua MODIS bands 1-7 at 500m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven reflectance bands is a quality layer and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite on the basis of high observation coverage, low view angle, the absence of clouds or cloud shadow, and aerosol loading.
我那位无忌,正直,高贵,温和的女士, My gracious lady, virtuous, noble and fair, 只给我留下一份空虚的希望, who has left me but a dream of empty hope, 使我的生命充满了快乐与痛苦。 filling my life with bittersweet despair.
Complex 3 D rendering, a beautiful porcelainoutline of ultra detailed female robot face, semirobot, in outer space, cyberpunk, robot parts,150 mm, beautiful studio soft light, fine facevibrant details, luxury cyberpunk, surrealism.anatomy, facial muscles, cables, microchipselectronic boards, current, elegance, beautifulbackground, octane rendering, H. R. Gig style, 8kwallpaper, best quality, masterpiece, illustrationan extremely exquisite and beautiful, extremelydetailed, CG, unified, wallpaper, (realistic, photorealistic: 1.37), stunning, fine details, masterpiece.best quality, official art, extremely detailed CGunified, 8k wallpaper, robot, silver dummy <lora:gundamRX782OutfitStyle_v10:0.3> <lora:chilloutmixss20_v20:0.7>
周末在家面试，和候选人聊到Redis的问题，于是问了他一个问题：你知道缓存穿透、缓存击穿和缓存雪崩吗？他们之间的区别是什么？分别怎么解决吗？
嗨，欢迎来到镀金玫瑰团队。如您所知，我们是一家小旅馆，位于一线城市的黄金地段，旅馆老板艾里森（Allison）很友好。我们只销售高端商品。不过，每件商品都有一个销售剩余天数。随着时间的推移，商品的品质会不断下降。我们拥有一个可以更新库存信息的系统。一个名叫Leeroy的开发人员开发了这个系统，之后就离开了。你的任务是将新功能添加到该系统中，以便我们可以开始销售新种类的商品。首先介绍一下这个系统：
上传图片/视频/文件是我们经常会遇到的问题，但是一旦图片过大就会导致不好的操作体验。图片上传是前端中常见的的业务场景。无论是前台还是后台，适当的对图片进行压缩处理， 可以显著的提升用户体验。而在后台管理系统中，图片压缩不仅仅能够提升后台管理员操作体验，更是可以防止后台设置过大的图片导致前台图片加载过久，从而影响用户体验。
长期使用AUTOMATIC1111/stable-diffusion-webui的小伙伴，应该有了解，如果不使用特定的大模型或Lora，是很难生成整体上都符合要求的风景图。本文主要详述了制作一个学校的春夏秋冬的风景的过程。
• 直接竞品容易找到，但只分析直接竞品容易阻碍思路 • 相似服务不同用户，最容易寻找到业务灵感 • 同用户不同服务，进行深层分析，把握用户核心需求，有跨界机会 • 不同服务不同用户，不要浪费时间了
本次我们将分别使用两个流程完成对MODIS影像去除云，第一个就是先去云然后再合成，第二个方式是先合成后去云，我们通常情况下一般都是先去云再合成。
在博客 【Android 内存优化】图片文件压缩 ( Android 原生 API 提供的图片压缩功能能 | 图片质量压缩 | 图片尺寸压缩 ) 简要介绍了 图片文件压缩格式 , 以及 Android 提供的图片质量 , 尺寸压缩原生 API ;
The AVHRR Pathfinder Version 5.3 Sea Surface Temperature dataset (PFV53) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National Oceanographic Data Center and the University of Miami's Rosenstiel School of Marine and Atmospheric Science. PFV53 was computed from data from the AVHRR instruments on board NOAA's polar orbiting satellite series using an entirely modernized system based on SeaDAS. PFV53 data are nearly 100% compliant with the GHRSST Data Specification Version 2.0 for L3C products and only deviate from that standard in that 'sses_bias', 'sses_standard_deviation', and 'sst_dtime' variables are empty and hence not included into EE assets. PFV53 data were collected through the operational periods of the NOAA-7 through NOAA-19 Polar Operational Environmental Satellites (POES), and are available from 1981 to 2014. Additional information is available at the [NOAA Pathfinder site] (NODC Pathfinder SST Data).
这里数据虽然已经没有了缺失值，但每一行数据的含义却发生了变化。原始数据中产品T01在20160303这天并没有测试，所以这一天的值应该被解释为在此之前的最后一次quality的测试值。另一个问题是两种产品都是按月测试的，但重塑后的数据框没有以固定的频率对其date。
百度智能云 注册登录成功后，进入控制台，在左边的导航栏找到产品-》人工智能-》人脸识别
数据框的本质是一个由向量构成的列表，由于列长度相同，所以可以当做矩阵进行访问和操作。比如选择满足特定条件的行，使用[]符号，第一个参数提供一个逻辑向量，第二个参数留空。
The MYD11A2 V6 product provides an average 8-day land surface temperature (LST) in a 1200 x 1200 kilometer grid. Each pixel value in MYD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8 day period. The 8 day compositing period was chosen because twice that period is the exact ground track repeat period of the Aqua and Aqua platforms. In this product, along with both the day- and night-time surface temperature bands and their quality indicator (QC) layers, are also MODIS bands 31 and 32 and eight observation layers.
Stable Diffusion是2022年发布的深度学习文本到图像生成模型。它主要用于根据文本的描述产生详细图像，尽管它也可以应用于其他任务，如内补绘制、外补绘制，以及在提示词指导下产生图生图的转变。 它是一种潜在扩散模型，由慕尼黑大学的CompVis研究团体开发的各种生成性人工神经网络之一。（取自百度）
The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MYD09GA version 6 provides bands 1-7 in a daily gridded L2G product in the sinusoidal projection, including 500m reflectance values and 1km observation and geolocation statistics.
在AI绘画领域，stable diffusion模型在图像生成方面取得了显著的进步，然而，如何对画面的各个分区进行精细的上色仍然是一个挑战。为了解决这个问题，我们引入了regional-prompter，一种新的技术，可以帮助我们对AI绘画的各个区域进行有针对性的上色。
在某个项目中用到，就记录一下吧～特别是碰到图片上传后改变了方向的，特别郁闷，所以找到了解决方案
前面几篇： Stable-Diffusion|window10安装GPU版本的 Stable-Diffusion-WebUI遇到的一些问题（一） 【Stable-Diffusion|入门怎么下载与使用civitai网站的模型（二）】 Stable-Diffusion|文生图 拍立得纪实风格的Lora 图例（三）
The MODIS Surface Reflectance products provide an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols. MYD09GQ version 6 provides bands 1 and 2 at a 250m resolution in a daily gridded L2G product in the Sinusoidal projection, including a QC and five observation layers. This product is meant to be used in conjunction with the MOD09GA where important quality and viewing geometry information is stored.
fastqc -t 12 -o out_path sample1_1.fq sample1_2.fq
The MYD09Q1 product provides an estimate of the surface spectral reflectance of bands 1 and 2 at 250m resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the two reflectance bands, a quality layer is also included. For each pixel, a value is selected from all the acquisitions within the 8-day composite on the basis of high observation coverage, low view angle, the absence of clouds or cloud shadow, and aerosol loading.
空气质量数据对于公众健康和环境保护至关重要。本文将指导您如何将特定的空气质量查询API集成到您的项目中，并在前端展示实时空气质量指数（AQI）和其他相关数据。
编写一组 SQL 来查找每次查询的名称(query_name)、质量(quality) 和 劣质查询百分比 (poor_query_percentage)。
系统：Windows 7 语言版本：Anaconda3-4.3.0.1-Windows-x86_64 编辑器：pycharm-community-2016.3.2
执行长时间运行操作或异步操作并可取消的方法，通常采用取消令牌参数。 每个取消令牌都有一个 CancellationTokenSource，以创建令牌并将其用于可取消的计算。 通常的做法是使用一长的方法调用链，将取消令牌从调用方传递到被调用方。 因此，参与可取消计算的大量方法最终都具有取消令牌参数。 但是，取消令牌本身通常与大多数这些方法的核心功能无关。 将此类参数作为列表中的最后一个参数是一种很好的 API 设计实践。
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