A Christmas tree farmer decides to plant pine trees up in hilly property that he owns. Measuring at a constant shortest ground distance from the center, he marks off a circular perimeter that is \(2000\pi\) meters long. He plants the pine trees at an uniform density of one tree per \(10\) square meters. When completed, and after the entire area inside the \(2000\pi\) meter long circular perimeter is planted with pine trees, he notices that he still has a lot of surplus unplanted pine trees, which means he used less than his original calculated estimates. He then decides to mark off the shortest lines between \(4\) points equally spaced along the \(2000\pi\) meter circular perimeter, and then counts all the trees. He discovers that instead of the expected ratio of \(2:\pi \) between the tree count inside the \(4\) sided boundary and the total tree count inside the \(2000\pi\) meter circular perimeter, he has the ratio of \(1:2\). He scratches his head and wonders what's going on.

What is the area of the property inside the \(2000\pi\) meter circular perimeter?

If \(A\) is the area in square meters, find \(\left\lfloor \dfrac { A }{ 1000 } \right\rfloor \)

Note: The Gaussian curvature everywhere on the property inside the \(2000\pi\) meter circular perimeter is \(0\), with the allowed exception of a single point. (This means that any patch of the property, which does not include that single point, can be "laid flat", i.e. every point on the surface is locally like a cylinder, where \(K=0\). This is not true for spheres, where \(K > 0\), or saddles, where \(K < 0\).)

There are no lakes, sinkholes, etc.

Only elementary math is needed to solve this one, no calculus nor differential geometry is needed here.

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