China's famous educator Mr. Tao Xingzhi once said that "education is the first, observation first", only scientific and effective observation can change the teachers' narrow understanding of kindergarten curriculum. From the observation record to the derived "Little Secrets in the Toilet" garden-based course, the original is just an ordinary life segment, become warm, have curriculum awareness. With an observational perspective, the teachers capture the interests and needs of the children in their lives, understand their experience levels, and provide valuable learning growth points. At the same time, in the activity, teachers reflect on their own educational content, organization mode and environment creation, and make dynamic adjustment and transformation, which promotes the development of children and improves teachers' leadership in the curriculum.

In this study, optical and microwave satellite observations are integrated to estimate soil moisture at the same spatial resolution as the optical sensors (5km here) and applied for drought analysis in the continental United States. A new refined model is proposed to include auxiliary data like soil texture, topography, surface types, accumulated precipitation, in addition to Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) used in the traditional universal triangle method. It is found the new proposed soil moisture model using accumulated precipitation demonstrated close agreements with the U.S. Drought Monitor (USDM) spatial patterns. Currently, the USDM is providing a weekly map. Recently, “flash” drought concept appears. To obtain drought map on daily basis, LST is derived from microwave observations and downscaled to the same resolution as the thermal infrared LST product and used to fill the gaps due to clouds in optical LST data. With the integrated daily LST available under nearly all weather conditions, daily soil moisture can be estimated at relatively higher spatial resolution than those traditionally derived from passive microwave sensors, thus drought maps based on soil moisture anomalies can be obtained on daily basis and made the flash drought analysis and monitoring become possible.